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69 Commits

Author SHA1 Message Date
Oleg Kalachev
ab3f5e6c69 docs: remove unwanted code blocks indentation in network article 2019-07-08 19:58:47 +03:00
Oleg Kalachev
96cc0c7ad9 Forgotten lines 2019-07-03 05:38:10 +03:00
Oleg Kalachev
997484cd1f aruco_map: fix includes order 2019-07-03 05:23:44 +03:00
Oleg Kalachev
48b24a5fef aruco_map: possibility to publish static transforms for map's markers 2019-07-03 05:18:44 +03:00
Oleg Kalachev
2ae5ffe09f aruco_pose: add testing markers' tf frames 2019-07-02 05:18:33 +03:00
Oleg Kalachev
da29beda47 builder: run tests after GeographicLib datasets is installed 2019-07-02 02:54:20 +03:00
Oleg Kalachev
0303e645b7 Fix typo 2019-07-02 01:26:07 +03:00
Oleg Kalachev
979c863033 Add some test for clever package 2019-07-02 01:21:49 +03:00
Oleg Kalachev
46b8390c03 Little fix 2019-07-02 01:01:07 +03:00
Oleg Kalachev
e5df1cd1a0 aruco_pose: require all the nodelets not to crash in tests 2019-07-02 00:39:47 +03:00
Oleg Kalachev
32c04ef58d Bring back lxml to package.xml 2019-07-01 23:54:26 +03:00
Oleg Kalachev
596fa9aecf Add tf2_web_republisher to package dependencies 2019-07-01 22:47:47 +03:00
Oleg Kalachev
f883825def clever.launch: support copter_visualization renamed to visualization 2019-07-01 22:24:04 +03:00
Oleg Kalachev
d65df5d1ba Improve manual installation instruction and make some related fixes 2019-07-01 22:20:15 +03:00
tinderad
a183be2708 docs: add new version of camera calibration article (#134) 2019-06-29 15:34:57 +03:00
Oleg Kalachev
9c9ac3150d Use pytest for tests (#133)
* aruco_pose: use pytest

* Use ros_pytest

* Add ros_pytest to rosdep

* aruco_pose: compare floats more roughly in pytest

* aruco_pose: rewrite all the rest tests in pytest
2019-06-28 17:40:40 +03:00
Oleg Kalachev
82649cbe20 aruco_pose: remove unused lines from tests 2019-06-26 23:02:32 +03:00
Oleg Kalachev
b542851b24 aruco_pose: fix crashing the nodelet if markers on the map are to small 2019-06-26 23:00:49 +03:00
Oleg Kalachev
65d359b5c2 aruco_pose: fix command for running tests in readme 2019-06-26 22:42:08 +03:00
Oleg Kalachev
1b6f38f8cf docs: small fix 2019-06-26 21:15:58 +03:00
Oleg Kalachev
81f0dfd530 docs: other fixes to trainer mode article 2019-06-26 19:52:05 +03:00
Oleg Kalachev
52ed11ef8c docs: fixes to trainer mode article 2019-06-26 19:50:05 +03:00
Oleg Kalachev
4b384d9f61 selfcheck.py: show the number of markers in the map 2019-06-26 19:29:43 +03:00
VeneraDal
d37bd8ee87 docs: add trainer mode article
* Add files via upload

* Add files via upload

* Добавила статью по настройке  режима тренера.

В разделе "Настройки", после статьи Полётные режимы.

* Update Trainer_mode.md

* Update Trainer_mode.md

* Update Trainer_mode.md
2019-06-26 17:36:14 +03:00
Oleg Kalachev
8d606c2ed1 image: unlock vim version 2019-06-24 00:05:20 +03:00
Tenessinum
d2a405cb79 Aruco Map Generator markdown (#130)
* Add Aruco Map Generator markdown

* Add Aruco Map Generator link

* Fixed errors in arucogenmap.md
2019-06-23 18:34:59 +03:00
Andrei Korigodski
1b97bfa5a0 docs: fix en/README 2019-06-21 13:44:38 +03:00
garinegor
c2254c52d4 Fixed ap mode commands error (#131)
* fixed ap mode commands error

* removed unexpected spaces
2019-06-21 11:23:08 +02:00
Oleg Kalachev
8f304b628f Merge branch 'proof_reading' 2019-06-21 02:53:32 +02:00
sfalexrog
90c8fb5bac docs: firmware article 2019-06-20 01:25:00 +03:00
sfalexrog
bcd48bbd90 docs: linter 2019-06-20 01:03:42 +03:00
thomashamain
e0ed27875f doc: snippets.md 2019-06-19 22:34:32 +03:00
thomashamain
6f49b6dfda doc: ros-install.md ros.md
line 109: "working on serval PCs?" means that ROS is working on several PCs? I think a specification is needed.
2019-06-19 21:49:14 +03:00
sfalexrog
6a17217fbd docs: laser.md article 2019-06-19 21:47:22 +03:00
sfalexrog
2090f0a1ae docs: selfcheck.md proofreading 2019-06-19 21:29:41 +03:00
sfalexrog
fdae8ee2aa docs: mavros article 2019-06-19 21:16:18 +03:00
sfalexrog
7f802d3efd docs: make linter happy 2019-06-19 19:03:53 +03:00
thomashamain
5237ccf590 doc : optical_flow.md
i'm affraid i did not translate correctly the part at line 92:
the speed will be controlled such as Optical Flow "values"? do not exceed 50% of the "given parameter"?
2019-06-17 23:45:53 +03:00
Oleg Kalachev
25f69596fc Move body frame publishing to simple_offboard.cpp 2019-06-16 15:43:53 +03:00
Oleg Kalachev
7610f02b38 main_camera.launch: enable automatic rescaling camera calibration 2019-06-15 17:58:00 +03:00
sfalexrog
9218460d52 docs: Finish aruco_map translation 2019-06-14 19:36:56 +03:00
sfalexrog
db692f1484 docs: Start updating ArUco articles 2019-06-14 19:36:37 +03:00
sfalexrog
6d4663e4f4 docs: Rename some of the english articles 2019-06-14 19:36:26 +03:00
thomashamain
cfcb7ce652 lint fixes 2019-06-14 19:34:03 +03:00
Oleg Kalachev
7e10d0d17c docs: update snippets 2019-06-13 20:25:45 +03:00
sfalexrog
3a1e95a551 docs: Fix aruco_map ambiguity 2019-06-12 00:53:13 +03:00
thomashamain
cd34277c64 This commit is a correction of previous version
copter = helicopter, use drone.
blanch is not the correct term, use to tin which is widely used.
Flat cable is used but I beleive ribbon cable is more common (not sure)
Unclear sections (did not understand in russian neither, coming from an unadviced reader it might be usefull to clarify those points)
- l.61 "the red and black wires are to be tinned on both ends using tweezers" (did you mean soldering iron?)
- l.82 "disconnect the power and move yellow jumper to the other tweezer" (did you mean pins)
- l.145 "thus, it will be clear which motor is controlled" (unsure if by going through the procedure we activate the motors individually or by setting the throttle to 10% we simply see the direction of spin as it's slow)

not linked to the proof reading:
do you power the rgb strip directly from the raspberry pi with pin 40 (gpio 21) ?because it can be dangerous as the led strip is drawing x mA  or even x A, and the RPI is not designed to withstand such currents (I beleive not more than 500mA), be carefull :o
2019-06-12 00:28:35 +03:00
sfalexrog
88f4b4c10e docs: Specify actual topic and callback names 2019-06-11 23:03:20 +03:00
thomashamain
314e313947 Proofing for English documentation
copter = helicopter
2019-06-11 19:57:09 +03:00
thomashamain
596c111199 This commit is a correction of the previous version. A slight modification is suggested.
- Copter in English is a synonyme of helicopter, use drone or quadrocopter.
- I would modify ther term "additionnal frame" as it might be understood as spare frame. I would describe them as "top frame" "bottom frame" "main frame" etc.
2019-06-11 18:48:16 +03:00
sfalexrog
0b35c9902d buider: Update key (again) 2019-06-11 16:39:53 +03:00
sfalexrog
fd8425c6a7 builder: Update ROS key 2019-06-11 16:02:58 +03:00
sfalexrog
793f3630ef builder: Fix pull request check 2019-06-11 15:41:51 +03:00
sfalexrog
3915dd09bb docs: Fix axis ambiguity 2019-06-11 15:39:44 +03:00
Oleg Kalachev
789e09b7b9 docs: fixes to flip snippet 2019-06-07 18:35:11 +03:00
sfalexrog
0fb88bafb4 docs: web_video_server type parameter 2019-06-06 21:05:53 +03:00
sfalexrog
4786b51466 clever: Add publish_rate for web_video_server 2019-06-04 17:59:38 +03:00
Oleg Kalachev
d3fffb7b54 docs: small fix in gpio article 2019-06-04 15:51:07 +03:00
sfalexrog
e1444978bb builder: fast docs rebuild (for pull requests) (#126)
* builder: Skip builds for docs-only pull requests

* force rebuild

* travis: Fix bad syntax

* travis: Be more strict about checking for changes

* travis: Make build skipping more noticeable
2019-06-03 21:16:04 +03:00
Oleg Kalachev
9932062631 Update sources hats 2019-06-03 17:18:27 +03:00
Oleg Kalachev
8a5e1318c7 docs: "fix" English version link 2019-05-31 19:11:23 +03:00
Oleg Kalachev
7d6acc52e9 docs: clarify snippets a little 2019-05-31 18:37:09 +03:00
Oleg Kalachev
b850844fa2 Remove bad 17 marker from cmit aruco map 2019-05-30 22:47:18 +03:00
Alamoris
4c01e710fc aruco_pose: Add cmit aruco map 2019-05-30 19:46:35 +03:00
Oleg Kalachev
161506d89a docs: translate images to English 2019-05-30 00:54:26 +03:00
sfalexrog
bb2c2cfac9 builder: Use PWM peripheral for pigpiod 2019-05-28 21:00:28 +03:00
sfalexrog
8019712d8c Revert "aruco_map: Use two-pass solvePnP"
This reverts commit 91f6f6dd32. Additional testing revealed this "fix" to provide incorrect results.
2019-05-28 20:54:49 +03:00
Oleg Kalachev
41e9f407fd docs: fix IR connection illustration 2019-05-27 16:09:28 +03:00
sfalexrog
c8008efeac builder: Update base image and packages 2019-05-27 13:52:50 +03:00
115 changed files with 1706 additions and 894 deletions

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@@ -23,7 +23,16 @@ jobs:
# Check if there are any cached images, copy them to our "images" directory
- if [ -n "$(ls -A imgcache/*.zip)" ]; then mkdir -p images && cp imgcache/*.zip images; fi
script:
- docker run --privileged --rm -v /dev:/dev -v $(pwd):/builder/repo -e TRAVIS_TAG="${TRAVIS_TAG}" ${DOCKER}
- if [[ -z ${TRAVIS_TAG} && "${TRAVIS_PULL_REQUEST}" != "false" ]]; then
echo "Commit range is ${TRAVIS_COMMIT_RANGE}" &&
if [ $(git diff --name-only ${TRAVIS_COMMIT_RANGE} | grep -v ^"docs/" | wc -l) -eq 0 ]; then
echo " === Docs-only change; skipping build ===" &&
export SKIP_BUILD=true;
fi;
fi
- if [ -z ${SKIP_BUILD} ]; then
docker run --privileged --rm -v /dev:/dev -v $(pwd):/builder/repo -e TRAVIS_TAG="${TRAVIS_TAG}" ${DOCKER};
fi
before_cache:
- cp images/*.zip imgcache
before_deploy:

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@@ -10,7 +10,7 @@ Copter Express has implemented a large number of different autonomous drone proj
Use it to learn how to assemble, configure, pilot and program autonomous CLEVER drone.
## Preconfigured RPi 3 image
## Raspberry Pi image
**Preconfigured image for Raspberry Pi 3 with installed and configured software, ready to fly, is available [in the Releases section](https://github.com/CopterExpress/clever/releases).**
@@ -30,49 +30,59 @@ API description (in Russian) for autonomous flights is available [on GitBook](ht
## Manual installation
Install ROS Kinetic according to the [documentation](http://wiki.ros.org/kinetic/Installation).
Install ROS Kinetic according to the [documentation](http://wiki.ros.org/kinetic/Installation), then [create a Catkin workspace](http://wiki.ros.org/catkin/Tutorials/create_a_workspace).
Clone repo to directory `/home/pi/catkin_ws/src/clever`:
Clone this repo to directory `~/catkin_ws/src/clever`:
```bash
cd ~/catkin_ws/src
git clone https://github.com/CopterExpress/clever.git clever
```
Build ROS packages:
All the required ROS packages (including `mavros` and `opencv`) can be installed using `rosdep`:
```bash
cd ~/catkin_ws/
rosdep install -y --from-paths src --ignore-src
```
Build ROS packages (on memory constrained platforms you might be going to need to use `-j1` key):
```bash
cd ~/catkin_ws
catkin_make -j1
```
Enable systemd service `roscore` (if not enabled):
To complete `mavros` install you'll need to install `geographiclib` datasets:
```bash
sudo systemctl enable /home/pi/catkin_ws/src/clever/deploy/roscore.service
curl https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh | sudo bash
```
## Running
Enable systemd service `roscore` (if not running):
```bash
sudo systemctl enable /home/<username>/catkin_ws/src/clever/deploy/roscore.service
sudo systemctl start roscore
```
Enable systemd service `clever`:
To start connection to SITL, use:
```bash
sudo systemctl enable /home/pi/catkin_ws/src/clever/deploy/clever.service
sudo systemctl start clever
roslaunch clever sitl.launch
```
### Dependencies
To start connection to the flight controller, use:
[ROS Kinetic](http://wiki.ros.org/kinetic).
```bash
roslaunch clever clever.launch
```
Necessary ROS packages:
Also, you can enable and start the systemd service:
* `opencv3`
* `mavros`
* `rosbridge_suite`
* `web_video_server`
* `cv_camera`
* `nodelet`
* `dynamic_reconfigure`
* `bondcpp`, branch `master`
* `roslint`
* `rosserial`
```bash
sudo systemctl enable /home/<username>/catkin_ws/src/clever/deploy/clever.service
sudo systemctl start clever
```

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@@ -219,4 +219,5 @@ if (CATKIN_ENABLE_TESTING)
add_rostest(test/test_parser_pass.test)
add_rostest(test/test_parser_empty_map.test)
add_rostest(test/test_node_failure.test)
add_rostest(test/largemap.test)
endif()

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@@ -110,7 +110,7 @@ See examples in [`map`](map/) directory.
Command for running tests:
```bash
rostest aruco_pose basic.test
catkin_make run_tests && catkin_test_results
```
## Copyright

100
aruco_pose/map/cmit.txt Normal file
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@@ -0,0 +1,100 @@
0 0.33 0.0 9.0 0 0 0 0
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#17 0.33 7.0 8.0 0 0 0 0
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59 0.33 9.0 4.0 0 0 0 0
60 0.33 0.0 3.0 0 0 0 0
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69 0.33 9.0 3.0 0 0 0 0
70 0.33 0.0 2.0 0 0 0 0
71 0.33 1.0 2.0 0 0 0 0
72 0.33 2.0 2.0 0 0 0 0
73 0.33 3.0 2.0 0 0 0 0
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75 0.33 5.0 2.0 0 0 0 0
76 0.33 6.0 2.0 0 0 0 0
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78 0.33 8.0 2.0 0 0 0 0
79 0.33 9.0 2.0 0 0 0 0
80 0.33 0.0 1.0 0 0 0 0
81 0.33 1.0 1.0 0 0 0 0
82 0.33 2.0 1.0 0 0 0 0
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87 0.33 7.0 1.0 0 0 0 0
88 0.33 8.0 1.0 0 0 0 0
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90 0.33 0.0 0.0 0 0 0 0
91 0.33 1.0 0.0 0 0 0 0
92 0.33 2.0 0.0 0 0 0 0
93 0.33 3.0 0.0 0 0 0 0
94 0.33 4.0 0.0 0 0 0 0
95 0.33 5.0 0.0 0 0 0 0
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99 0.33 9.0 0.0 0 0 0 0

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@@ -30,6 +30,7 @@
<depend>rostest</depend>
<test_depend>image_publisher</test_depend>
<test_depend>ros_pytest</test_depend>
<!-- The export tag contains other, unspecified, tags -->
<export>

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@@ -18,6 +18,7 @@
#include <string>
#include <vector>
#include <fstream>
#include <algorithm>
#include <ros/ros.h>
#include <nodelet/nodelet.h>
#include <pluginlib/class_list_macros.h>
@@ -27,6 +28,7 @@
#include <tf2_ros/buffer.h>
#include <tf2_ros/transform_listener.h>
#include <tf2_ros/transform_broadcaster.h>
#include <tf2_ros/static_transform_broadcaster.h>
#include <tf2_geometry_msgs/tf2_geometry_msgs.h>
#include <message_filters/subscriber.h>
#include <message_filters/synchronizer.h>
@@ -36,7 +38,6 @@
#include <sensor_msgs/Image.h>
#include <visualization_msgs/Marker.h>
#include <visualization_msgs/MarkerArray.h>
#include <algorithm>
#include <aruco_pose/MarkerArray.h>
#include <aruco_pose/Marker.h>
@@ -68,11 +69,13 @@ private:
Mat camera_matrix_, dist_coeffs_;
geometry_msgs::TransformStamped transform_;
geometry_msgs::PoseWithCovarianceStamped pose_;
vector<geometry_msgs::TransformStamped> markers_transforms_;
tf2_ros::TransformBroadcaster br_;
tf2_ros::StaticTransformBroadcaster static_br_;
tf2_ros::Buffer tf_buffer_;
tf2_ros::TransformListener tf_listener_{tf_buffer_};
visualization_msgs::MarkerArray vis_array_;
std::string known_tilt_;
std::string known_tilt_, map_, markers_frame_, markers_parent_frame_;
int image_width_, image_height_, image_margin_;
bool auto_flip_;
@@ -101,6 +104,8 @@ public:
nh_priv_.param("image_width", image_width_, 2000);
nh_priv_.param("image_height", image_height_, 2000);
nh_priv_.param("image_margin", image_margin_, 200);
nh_priv_.param<std::string>("markers/frame_id", markers_parent_frame_, transform_.child_frame_id);
nh_priv_.param<std::string>("markers/child_frame_id_prefix", markers_frame_, "");
// createStripLine();
@@ -125,6 +130,7 @@ public:
sync_.reset(new message_filters::Synchronizer<SyncPolicy>(SyncPolicy(10), image_sub_, info_sub_, markers_sub_));
sync_->registerCallback(boost::bind(&ArucoMap::callback, this, _1, _2, _3));
publishMarkersFrames();
publishMapImage();
vis_markers_pub_.publish(vis_array_);
@@ -179,13 +185,7 @@ public:
double center_x = 0, center_y = 0, center_z = 0;
alignObjPointsToCenter(obj_points, center_x, center_y, center_z);
// Step 1: Solve using EPnP
valid = solvePnP(obj_points, img_points, camera_matrix_, dist_coeffs_, rvec, tvec, false, cv::SOLVEPNP_EPNP);
// Step 2: Use iterative method to refine results
valid &= solvePnP(obj_points, img_points, camera_matrix_, dist_coeffs_, rvec, tvec, true);
// Step 3: Check tvec magnitude. Iterative method tends to diverge sometimes, and this divergence is not picked up
// by OpenCV code
valid &= norm(tvec) < 1e6;
valid = solvePnP(obj_points, img_points, camera_matrix_, dist_coeffs_, rvec, tvec, false);
if (!valid) goto publish_debug;
fillTransform(transform_.transform, rvec, tvec);
@@ -428,6 +428,15 @@ publish_debug:
board_->ids.push_back(id);
board_->objPoints.push_back(obj_points);
// Add marker's static transform
if (!markers_frame_.empty()) {
geometry_msgs::TransformStamped marker_transform;
marker_transform.header.frame_id = markers_parent_frame_;
marker_transform.child_frame_id = markers_frame_ + std::to_string(id);
tf::transformTFToMsg(transform, marker_transform.transform);
markers_transforms_.push_back(marker_transform);
}
// Add visualization marker
visualization_msgs::Marker marker;
marker.header.frame_id = transform_.child_frame_id;
@@ -458,6 +467,13 @@ publish_debug:
// vis_array_.markers.at(0).points.push_back(p);
}
void publishMarkersFrames()
{
if (!markers_transforms_.empty()) {
static_br_.sendTransform(markers_transforms_);
}
}
void publishMapImage()
{
cv::Size size(image_width_, image_height_);

View File

@@ -87,6 +87,7 @@ void _drawPlanarBoard(Board *_board, Size outSize, OutputArray _img, int marginS
// dst_sz.width = dst_sz.height = std::min(dst_sz.width, dst_sz.height); //marker should be square
double diag = std::round(std::hypot(dst_sz.width, dst_sz.height));
int side = std::round(diag / std::sqrt(2));
side = std::max(side, 10);
dictionary.drawMarker(_board->ids[m], side, marker, borderBits);

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@@ -1,5 +1,13 @@
#!/usr/bin/env python
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Oleg Kalachev <okalachev@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
"""Markers map generator
Generate map file for aruco_map nodelet.

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@@ -1,3 +1,14 @@
/*
* Utility functions
* Copyright (C) 2018 Copter Express Technologies
*
* Author: Oleg Kalachev <okalachev@gmail.com>
*
* Distributed under MIT License (available at https://opensource.org/licenses/MIT).
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*/
#pragma once
#include <cmath>

View File

@@ -1,101 +1,131 @@
#!/usr/bin/env python
import sys
import unittest
import json
import rospy
import rostest
import pytest
import tf2_ros
import tf2_geometry_msgs
from geometry_msgs.msg import PoseWithCovarianceStamped
from sensor_msgs.msg import Image
from aruco_pose.msg import MarkerArray
from visualization_msgs.msg import MarkerArray as VisMarkerArray
class TestArucoPose(unittest.TestCase):
def setUp(self):
rospy.init_node('test_aruco_detect', anonymous=True)
@pytest.fixture
def node():
return rospy.init_node('aruco_pose_test', anonymous=True)
def test_markers(self):
markers = rospy.wait_for_message('aruco_detect/markers', MarkerArray, timeout=5)
self.assertEqual(len(markers.markers), 4)
self.assertEqual(markers.header.frame_id, 'main_camera_optical')
@pytest.fixture
def tf_buffer():
buf = tf2_ros.Buffer()
tf2_ros.TransformListener(buf)
return buf
self.assertEqual(markers.markers[0].id, 2)
self.assertAlmostEqual(markers.markers[0].length, 0.33, places=4)
self.assertAlmostEqual(markers.markers[0].pose.position.x, 0.36706567854, places=4)
self.assertAlmostEqual(markers.markers[0].pose.position.y, 0.290484516644, places=4)
self.assertAlmostEqual(markers.markers[0].pose.position.z, 2.18787602301, places=4)
self.assertAlmostEqual(markers.markers[0].pose.orientation.x, 0.993997406299, places=4)
self.assertAlmostEqual(markers.markers[0].pose.orientation.y, -0.00532003481626, places=4)
self.assertAlmostEqual(markers.markers[0].pose.orientation.z, -0.107390951553, places=4)
self.assertAlmostEqual(markers.markers[0].pose.orientation.w, 0.0201999263402, places=4)
self.assertAlmostEqual(markers.markers[0].c1.x, 415.557739258, places=4)
self.assertAlmostEqual(markers.markers[0].c1.y, 335.557739258, places=4)
self.assertAlmostEqual(markers.markers[0].c2.x, 509.442260742, places=4)
self.assertAlmostEqual(markers.markers[0].c2.y, 335.557739258, places=4)
self.assertAlmostEqual(markers.markers[0].c3.x, 509.442260742, places=4)
self.assertAlmostEqual(markers.markers[0].c3.y, 429.442260742, places=4)
self.assertAlmostEqual(markers.markers[0].c4.x, 415.557739258, places=4)
self.assertAlmostEqual(markers.markers[0].c4.y, 429.442260742, places=4)
def approx(expected):
return pytest.approx(expected, abs=1e-4) # compare floats more roughly
self.assertEqual(markers.markers[3].id, 3)
self.assertAlmostEqual(markers.markers[3].length, 0.1, places=4)
self.assertAlmostEqual(markers.markers[3].pose.position.x, -0.1805169666, places=4)
self.assertAlmostEqual(markers.markers[3].pose.position.y, -0.200697302327, places=4)
self.assertAlmostEqual(markers.markers[3].pose.position.z, 0.585767514823, places=4)
self.assertAlmostEqual(markers.markers[3].pose.orientation.x, -0.961738074009, places=4)
self.assertAlmostEqual(markers.markers[3].pose.orientation.y, -0.0375180244707, places=4)
self.assertAlmostEqual(markers.markers[3].pose.orientation.z, -0.0115387773672, places=4)
self.assertAlmostEqual(markers.markers[3].pose.orientation.w, 0.271144115664, places=4)
self.assertAlmostEqual(markers.markers[3].c1.x, 129.557723999, places=4)
self.assertAlmostEqual(markers.markers[3].c1.y, 49.557723999, places=4)
self.assertAlmostEqual(markers.markers[3].c2.x, 223.442276001, places=4)
self.assertAlmostEqual(markers.markers[3].c2.y, 49.557723999, places=4)
self.assertAlmostEqual(markers.markers[3].c3.x, 223.442276001, places=4)
self.assertAlmostEqual(markers.markers[3].c3.y, 143.442276001, places=4)
self.assertAlmostEqual(markers.markers[3].c4.x, 129.557723999, places=4)
self.assertAlmostEqual(markers.markers[3].c4.y, 143.442276001, places=4)
def test_markers(node):
markers = rospy.wait_for_message('aruco_detect/markers', MarkerArray, timeout=5)
assert len(markers.markers) == 4
assert markers.header.frame_id == 'main_camera_optical'
self.assertEqual(markers.markers[1].id, 1)
self.assertAlmostEqual(markers.markers[1].length, 0.33, places=4)
self.assertEqual(markers.markers[2].id, 4)
self.assertAlmostEqual(markers.markers[2].length, 0.33, places=4)
assert markers.markers[0].id == 2
assert markers.markers[0].length == approx(0.33)
assert markers.markers[0].pose.position.x == approx(0.36706567854)
assert markers.markers[0].pose.position.y == approx(0.290484516644)
assert markers.markers[0].pose.position.z == approx(2.18787602301)
assert markers.markers[0].pose.orientation.x == approx(0.993997406299)
assert markers.markers[0].pose.orientation.y == approx(-0.00532003481626)
assert markers.markers[0].pose.orientation.z == approx(-0.107390951553)
assert markers.markers[0].pose.orientation.w == approx(0.0201999263402)
assert markers.markers[0].c1.x == approx(415.557739258)
assert markers.markers[0].c1.y == approx(335.557739258)
assert markers.markers[0].c2.x == approx(509.442260742)
assert markers.markers[0].c2.y == approx(335.557739258)
assert markers.markers[0].c3.x == approx(509.442260742)
assert markers.markers[0].c3.y == approx(429.442260742)
assert markers.markers[0].c4.x == approx(415.557739258)
assert markers.markers[0].c4.y == approx(429.442260742)
def test_visualization(self):
vis = rospy.wait_for_message('aruco_detect/visualization', VisMarkerArray, timeout=5)
self.assertEqual(len(vis.markers), 9)
assert markers.markers[3].id == 3
assert markers.markers[3].length == approx(0.1)
assert markers.markers[3].pose.position.x == approx(-0.1805169666)
assert markers.markers[3].pose.position.y == approx(-0.200697302327)
assert markers.markers[3].pose.position.z == approx(0.585767514823)
assert markers.markers[3].pose.orientation.x == approx(-0.961738074009)
assert markers.markers[3].pose.orientation.y == approx(-0.0375180244707)
assert markers.markers[3].pose.orientation.z == approx(-0.0115387773672)
assert markers.markers[3].pose.orientation.w == approx(0.271144115664)
assert markers.markers[3].c1.x == approx(129.557723999)
assert markers.markers[3].c1.y == approx(49.557723999)
assert markers.markers[3].c2.x == approx(223.442276001)
assert markers.markers[3].c2.y == approx(49.557723999)
assert markers.markers[3].c3.x == approx(223.442276001)
assert markers.markers[3].c3.y == approx(143.442276001)
assert markers.markers[3].c4.x == approx(129.557723999)
assert markers.markers[3].c4.y == approx(143.442276001)
def test_debug(self):
img = rospy.wait_for_message('aruco_detect/debug', Image, timeout=5)
self.assertEqual(img.width, 640)
self.assertEqual(img.height, 480)
self.assertEqual(img.header.frame_id, 'main_camera_optical')
assert markers.markers[1].id == 1
assert markers.markers[1].length == approx(0.33)
assert markers.markers[2].id == 4
assert markers.markers[2].length == approx(0.33)
def test_map(self):
pose = rospy.wait_for_message('aruco_map/pose', PoseWithCovarianceStamped, timeout=5)
self.assertEqual(pose.header.frame_id, 'main_camera_optical')
self.assertAlmostEqual(pose.pose.pose.position.x, -0.629167753342, places=4)
self.assertAlmostEqual(pose.pose.pose.position.y, 0.293822650809, places=4)
self.assertAlmostEqual(pose.pose.pose.position.z, 2.12641343155, places=4)
self.assertAlmostEqual(pose.pose.pose.orientation.x, -0.998383794799, places=4)
self.assertAlmostEqual(pose.pose.pose.orientation.y, -5.20919098575e-06, places=4)
self.assertAlmostEqual(pose.pose.pose.orientation.z, -0.0300861070302, places=4)
self.assertAlmostEqual(pose.pose.pose.orientation.w, 0.0482143590507, places=4)
def test_markers_frames(node, tf_buffer):
marker_2 = tf_buffer.lookup_transform('main_camera_optical', 'aruco_2', rospy.Time(), rospy.Duration(5))
assert marker_2.transform.translation.x == approx(0.36706567854)
assert marker_2.transform.translation.y == approx(0.290484516644)
assert marker_2.transform.translation.z == approx(2.18787602301)
assert marker_2.transform.rotation.x == approx(0.993997406299)
assert marker_2.transform.rotation.y == approx(-0.00532003481626)
assert marker_2.transform.rotation.z == approx(-0.107390951553)
assert marker_2.transform.rotation.w == approx(0.0201999263402)
def test_map_image(self):
img = rospy.wait_for_message('aruco_map/image', Image, timeout=5)
self.assertEqual(img.width, 2000)
self.assertEqual(img.height, 2000)
self.assertEqual(img.encoding, 'mono8')
def test_map_markers_frames(node, tf_buffer):
stamp = rospy.get_rostime()
timeout = rospy.Duration(5)
def test_map_visualization(self):
vis = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
marker_1 = tf_buffer.lookup_transform('aruco_map', 'aruco_map_1', stamp, timeout)
assert marker_1.transform.translation.x == approx(0)
assert marker_1.transform.translation.y == approx(0)
assert marker_1.transform.translation.z == approx(0)
def test_map_debug(self):
img = rospy.wait_for_message('aruco_map/debug', Image, timeout=5)
marker_4 = tf_buffer.lookup_transform('aruco_map', 'aruco_map_4', stamp, timeout)
assert marker_4.transform.translation.x == approx(1)
assert marker_4.transform.translation.y == approx(1)
assert marker_4.transform.translation.z == approx(0)
# def test_transforms(self):
# pass
marker_12 = tf_buffer.lookup_transform('aruco_map', 'aruco_map_12', stamp, timeout)
assert marker_12.transform.translation.x == approx(0.2)
assert marker_12.transform.translation.y == approx(0.5)
assert marker_12.transform.translation.z == approx(0)
def test_visualization(node):
vis = rospy.wait_for_message('aruco_detect/visualization', VisMarkerArray, timeout=5)
assert len(vis.markers) == 9
rostest.rosrun('aruco_pose', 'test_aruco_detect', TestArucoPose, sys.argv)
def test_debug(node):
img = rospy.wait_for_message('aruco_detect/debug', Image, timeout=5)
assert img.width == 640
assert img.height == 480
assert img.header.frame_id == 'main_camera_optical'
def test_map(node):
pose = rospy.wait_for_message('aruco_map/pose', PoseWithCovarianceStamped, timeout=5)
assert pose.header.frame_id == 'main_camera_optical'
assert pose.pose.pose.position.x == approx(-0.629167753342)
assert pose.pose.pose.position.y == approx(0.293822650809)
assert pose.pose.pose.position.z == approx(2.12641343155)
assert pose.pose.pose.orientation.x == approx(-0.998383794799)
assert pose.pose.pose.orientation.y == approx(-5.20919098575e-06)
assert pose.pose.pose.orientation.z == approx(-0.0300861070302)
assert pose.pose.pose.orientation.w == approx(0.0482143590507)
def test_map_image(node):
img = rospy.wait_for_message('aruco_map/image', Image, timeout=5)
assert img.width == 2000
assert img.height == 2000
assert img.encoding == 'mono8'
def test_map_visualization(node):
vis = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
def test_map_debug(node):
img = rospy.wait_for_message('aruco_map/debug', Image, timeout=5)

View File

@@ -5,23 +5,27 @@
<param name="camera_info_url" value="file://$(find aruco_pose)/test/camera_info.yaml" />
</node>
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager"/>
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" required="true"/>
<node pkg="nodelet" clear_params="true" type="nodelet" name="aruco_detect" args="load aruco_pose/aruco_detect nodelet_manager">
<node pkg="nodelet" clear_params="true" type="nodelet" name="aruco_detect" args="load aruco_pose/aruco_detect nodelet_manager" required="true">
<remap from="image_raw" to="main_camera/image_raw"/>
<remap from="camera_info" to="main_camera/camera_info"/>
<param name="length" value="0.33"/>
<param name="length_override/3" value="0.1"/>
<param name="estimate_poses" value="true"/>
<param name="send_tf" value="true"/>
</node>
<node name="aruco_map" pkg="nodelet" type="nodelet" args="load aruco_pose/aruco_map nodelet_manager" clear_params="true">
<node name="aruco_map" pkg="nodelet" type="nodelet" args="load aruco_pose/aruco_map nodelet_manager" clear_params="true" required="true">
<remap from="image_raw" to="main_camera/image_raw"/>
<remap from="camera_info" to="main_camera/camera_info"/>
<remap from="markers" to="aruco_detect/markers"/>
<param name="type" value="map"/>
<param name="map" value="$(find aruco_pose)/test/basic.txt"/>
<param name="markers/frame_id" value="aruco_map"/>
<param name="markers/child_frame_id_prefix" value="aruco_map_"/>
</node>
<test test-name="test_aruco_pose" pkg="aruco_pose" type="basic.py"/>
<param name="test_module" value="$(find aruco_pose)/test/basic.py"/>
<test test-name="aruco_pose_test" pkg="ros_pytest" type="ros_pytest_runner"/>
</launch>

26
aruco_pose/test/largemap.py Executable file
View File

@@ -0,0 +1,26 @@
#!/usr/bin/env python
import sys
import unittest
import json
import rospy
import rostest
from sensor_msgs.msg import Image
from visualization_msgs.msg import MarkerArray as VisMarkerArray
class TestArucoPose(unittest.TestCase):
def setUp(self):
rospy.init_node('test_aruco_largemap', anonymous=True)
def test_map_image(self):
img = rospy.wait_for_message('aruco_map/image', Image, timeout=5)
self.assertEqual(img.width, 2000)
self.assertEqual(img.height, 2000)
self.assertEqual(img.encoding, 'mono8')
def test_map_visualization(self):
vis = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
rostest.rosrun('aruco_pose', 'test_aruco_largemap', TestArucoPose, sys.argv)

View File

@@ -0,0 +1,13 @@
<launch>
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" required="true"/>
<node name="aruco_map" pkg="nodelet" type="nodelet" args="load aruco_pose/aruco_map nodelet_manager" clear_params="true" required="true">
<remap from="image_raw" to="main_camera/image_raw"/>
<remap from="camera_info" to="main_camera/camera_info"/>
<remap from="markers" to="aruco_detect/markers"/>
<param name="type" value="map"/>
<param name="map" value="$(find aruco_pose)/test/largemap.txt"/>
</node>
<test test-name="test_aruco_pose_largemap" pkg="aruco_pose" type="largemap.py"/>
</launch>

View File

@@ -0,0 +1,11 @@
0 0.2 0 0 0 0 0 0
1 0.2 10 0 0 0 0 0
2 0.2 20 0 0 0 0 0
3 0.2 30 0 0 0 0 0
4 0.2 40 0 0 0 0 0
5 0.2 50 0 0 0 0 0
6 0.2 60 0 0 0 0 0
7 0.2 70 0 0 0 0 0
8 0.2 80 0 0 0 0 0
9 0.2 90 0 0 0 0 0
10 0.2 100 0 0 0 0 0

View File

@@ -1,27 +1,13 @@
#!/usr/bin/env python
import sys
import unittest
import json
import rospy
import rostest
import pytest
from geometry_msgs.msg import PoseWithCovarianceStamped
from sensor_msgs.msg import Image
from aruco_pose.msg import MarkerArray
from visualization_msgs.msg import MarkerArray as VisMarkerArray
class TestArucoMapPass(unittest.TestCase):
def setUp(self):
rospy.init_node('test_parser_fail', anonymous=True)
@pytest.fixture
def node():
return rospy.init_node('aruco_pose_test', anonymous=True)
def test_node_failure(self):
try:
markers = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
did_post_message = True
except rospy.exceptions.ROSException:
did_post_message = False
self.assertFalse(did_post_message)
rostest.rosrun('aruco_pose', 'test_aruco_map', TestArucoMapPass, sys.argv)
def test_node_failure(node):
with pytest.raises(rospy.exceptions.ROSException):
rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)

View File

@@ -9,5 +9,6 @@
<param name="map" value="$(find aruco_pose)/test/test_node_failure.txt"/>
</node>
<test test-name="test_aruco_map_fail_dict" pkg="aruco_pose" type="test_node_failure.py"/>
<param name="test_module" value="$(find aruco_pose)/test/test_node_failure.py"/>
<test test-name="test_node_failure" pkg="ros_pytest" type="ros_pytest_runner"/>
</launch>

View File

@@ -1,24 +1,13 @@
#!/usr/bin/env python
import sys
import unittest
import json
import rospy
import rostest
import pytest
from geometry_msgs.msg import PoseWithCovarianceStamped
from sensor_msgs.msg import Image
from aruco_pose.msg import MarkerArray
from visualization_msgs.msg import MarkerArray as VisMarkerArray
class TestArucoMapPass(unittest.TestCase):
def setUp(self):
rospy.init_node('test_parser_fail', anonymous=True)
@pytest.fixture
def node():
return rospy.init_node('aruco_pose_test_empty_map', anonymous=True)
def test_node_failure(self):
markers = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
self.assertEquals(len(markers.markers), 0)
rostest.rosrun('aruco_pose', 'test_aruco_map', TestArucoMapPass, sys.argv)
def test_empty_map(node):
markers = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
assert len(markers.markers) == 0

View File

@@ -9,5 +9,6 @@
<param name="map" value="$(find aruco_pose)/test/test_parser_empty_map.txt"/>
</node>
<test test-name="test_aruco_map_incomplete" pkg="aruco_pose" type="test_parser_empty_map.py"/>
<param name="test_module" value="$(find aruco_pose)/test/test_parser_empty_map.py"/>
<test test-name="test_node_empty_map" pkg="ros_pytest" type="ros_pytest_runner"/>
</launch>

View File

@@ -1,75 +1,61 @@
#!/usr/bin/env python
import sys
import unittest
import json
import rospy
import rostest
import pytest
from geometry_msgs.msg import PoseWithCovarianceStamped
from sensor_msgs.msg import Image
from aruco_pose.msg import MarkerArray
from visualization_msgs.msg import MarkerArray as VisMarkerArray
class TestArucoMapPass(unittest.TestCase):
def setUp(self):
rospy.init_node('test_parser_pass', anonymous=True)
@pytest.fixture
def node():
return rospy.init_node('aruco_pose_test', anonymous=True)
def test_markers(self):
markers = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
self.assertEqual(len(markers.markers), 6)
# FIXME: visual marker id is not ArUco marker id
# self.assertEqual(markers.markers[0].id, 1)
# self.assertEqual(markers.markers[1].id, 2)
# self.assertEqual(markers.markers[2].id, 3)
# self.assertEqual(markers.markers[3].id, 4)
def approx(expected):
return pytest.approx(expected, abs=1e-4) # compare floats more roughly
self.assertAlmostEqual(markers.markers[0].pose.position.x, 0, places=7)
self.assertAlmostEqual(markers.markers[0].pose.position.y, 0, places=7)
self.assertAlmostEqual(markers.markers[0].pose.position.z, 0, places=7)
self.assertAlmostEqual(markers.markers[1].pose.position.x, 1, places=7)
self.assertAlmostEqual(markers.markers[1].pose.position.y, 1, places=7)
self.assertAlmostEqual(markers.markers[1].pose.position.z, 1, places=7)
self.assertAlmostEqual(markers.markers[2].pose.position.x, 1, places=7)
self.assertAlmostEqual(markers.markers[2].pose.position.y, 0, places=7)
self.assertAlmostEqual(markers.markers[2].pose.position.z, 0.5, places=7)
self.assertAlmostEqual(markers.markers[3].pose.position.x, 0, places=7)
self.assertAlmostEqual(markers.markers[3].pose.position.y, 1, places=7)
self.assertAlmostEqual(markers.markers[3].pose.position.z, 0, places=7)
self.assertAlmostEqual(markers.markers[4].pose.position.x, 1, places=7)
self.assertAlmostEqual(markers.markers[4].pose.position.y, 0.5, places=7)
self.assertAlmostEqual(markers.markers[4].pose.position.z, 0, places=7)
self.assertAlmostEqual(markers.markers[5].pose.position.x, 2.2, places=7)
self.assertAlmostEqual(markers.markers[5].pose.position.y, 0.2, places=7)
self.assertAlmostEqual(markers.markers[5].pose.position.z, 0, places=7)
def test_markers(node):
markers = rospy.wait_for_message('aruco_map/visualization', VisMarkerArray, timeout=5)
assert len(markers.markers) == 6
self.assertAlmostEqual(markers.markers[0].scale.x, 0.33, places=7)
self.assertAlmostEqual(markers.markers[0].scale.y, 0.33, places=7)
self.assertAlmostEqual(markers.markers[1].scale.x, 0.225, places=7)
self.assertAlmostEqual(markers.markers[1].scale.y, 0.225, places=7)
self.assertAlmostEqual(markers.markers[2].scale.x, 0.45, places=7)
self.assertAlmostEqual(markers.markers[2].scale.y, 0.45, places=7)
self.assertAlmostEqual(markers.markers[3].scale.x, 0.15, places=7)
self.assertAlmostEqual(markers.markers[3].scale.y, 0.15, places=7)
self.assertAlmostEqual(markers.markers[4].scale.x, 0.25, places=7)
self.assertAlmostEqual(markers.markers[4].scale.y, 0.25, places=7)
self.assertAlmostEqual(markers.markers[5].scale.x, 0.35, places=7)
self.assertAlmostEqual(markers.markers[5].scale.y, 0.35, places=7)
assert markers.markers[0].pose.position.x == approx(0)
assert markers.markers[0].pose.position.y == approx(0)
assert markers.markers[0].pose.position.z == approx(0)
def test_map_image(self):
img = rospy.wait_for_message('aruco_map/image', Image, timeout=5)
self.assertEqual(img.width, 2000)
self.assertEqual(img.height, 2000)
self.assertEqual(img.encoding, 'mono8')
assert markers.markers[1].pose.position.x == approx(1)
assert markers.markers[1].pose.position.y == approx(1)
assert markers.markers[1].pose.position.z == approx(1)
# def test_transforms(self):
# pass
assert markers.markers[2].pose.position.x == approx(1)
assert markers.markers[2].pose.position.y == approx(0)
assert markers.markers[2].pose.position.z == approx(0.5)
assert markers.markers[3].pose.position.x == approx(0)
assert markers.markers[3].pose.position.y == approx(1)
assert markers.markers[3].pose.position.z == approx(0)
rostest.rosrun('aruco_pose', 'test_aruco_map', TestArucoMapPass, sys.argv)
assert markers.markers[4].pose.position.x == approx(1)
assert markers.markers[4].pose.position.y == approx(0.5)
assert markers.markers[4].pose.position.z == approx(0)
assert markers.markers[5].pose.position.x == approx(2.2)
assert markers.markers[5].pose.position.y == approx(0.2)
assert markers.markers[5].pose.position.z == approx(0)
assert markers.markers[0].scale.x == approx(0.33)
assert markers.markers[0].scale.y == approx(0.33)
assert markers.markers[1].scale.x == approx(0.225)
assert markers.markers[1].scale.y == approx(0.225)
assert markers.markers[2].scale.x == approx(0.45)
assert markers.markers[2].scale.y == approx(0.45)
assert markers.markers[3].scale.x == approx(0.15)
assert markers.markers[3].scale.y == approx(0.15)
assert markers.markers[4].scale.x == approx(0.25)
assert markers.markers[4].scale.y == approx(0.25)
assert markers.markers[5].scale.x == approx(0.35)
assert markers.markers[5].scale.y == approx(0.35)
def test_map_image(node):
img = rospy.wait_for_message('aruco_map/image', Image, timeout=5)
assert img.width == 2000
assert img.height == 2000
assert img.encoding == 'mono8'

View File

@@ -1,7 +1,7 @@
<launch>
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager"/>
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" required="true"/>
<node name="aruco_map" pkg="nodelet" type="nodelet" args="load aruco_pose/aruco_map nodelet_manager" clear_params="true">
<node name="aruco_map" pkg="nodelet" type="nodelet" args="load aruco_pose/aruco_map nodelet_manager" clear_params="true" required="true">
<remap from="image_raw" to="main_camera/image_raw"/>
<remap from="camera_info" to="main_camera/camera_info"/>
<remap from="markers" to="aruco_detect/markers"/>
@@ -9,5 +9,6 @@
<param name="map" value="$(find aruco_pose)/test/test_parser_pass.txt"/>
</node>
<test test-name="test_aruco_map" pkg="aruco_pose" type="test_parser_pass.py"/>
<param name="test_module" value="$(find aruco_pose)/test/test_parser_pass.py"/>
<test test-name="test_node_pass" pkg="ros_pytest" type="ros_pytest_runner"/>
</launch>

View File

@@ -8,6 +8,10 @@
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result

View File

@@ -8,6 +8,10 @@
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result

View File

@@ -550,3 +550,6 @@ ddynamic_reconfigure:
realsense2_camera:
debian:
stretch: [ros-kinetic-realsense2-camera]
ros_pytest:
debian:
stretch: [ros-kinetic-ros-pytest]

View File

@@ -0,0 +1,8 @@
[Unit]
Description=Daemon required to control GPIO pins via pigpio
[Service]
ExecStart=/usr/bin/pigpiod -l -t 0 -x 0x0FFF3FF0
ExecStop=/bin/systemctl kill pigpiod
Type=forking
[Install]
WantedBy=multi-user.target

View File

@@ -1,17 +1,21 @@
#! /usr/bin/env bash
#
# Script for build the image. Used builder script of the target repo
# Script for build the image. Used builder script of the target repo.
# For build: docker run --privileged -it --rm -v /dev:/dev -v $(pwd):/builder/repo smirart/builder
#
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result
SOURCE_IMAGE="https://downloads.raspberrypi.org/raspbian_lite/images/raspbian_lite-2018-11-15/2018-11-13-raspbian-stretch-lite.zip"
SOURCE_IMAGE="https://downloads.raspberrypi.org/raspbian_lite/images/raspbian_lite-2019-04-09/2019-04-08-raspbian-stretch-lite.zip"
export DEBIAN_FRONTEND=${DEBIAN_FRONTEND:='noninteractive'}
export LANG=${LANG:='C.UTF-8'}
@@ -109,6 +113,7 @@ ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/roscore
${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/roscore.service' '/lib/systemd/system/'
${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/kinetic-rosdep-clever.yaml' '/etc/ros/rosdep/'
${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/ros_python_paths' '/etc/sudoers.d/'
${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/pigpiod.service' '/lib/systemd/system/'
# ${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/kinetic-ros-clever.rosinstall' '/home/pi/ros_catkin_ws/'
# Add PX4 udev rules
${BUILDER_DIR}/image-chroot.sh ${IMAGE_PATH} copy ${SCRIPTS_DIR}'/assets/99-px4fmu.rules' '/lib/udev/rules.d/'

View File

@@ -1,12 +1,16 @@
#! /usr/bin/env bash
#
# Script for initialisation image
# Script for image initialisation
#
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result

View File

@@ -1,12 +1,16 @@
#! /usr/bin/env bash
#
# Script for network configure
# Script for network configuration
#
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result

View File

@@ -8,6 +8,10 @@
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result
@@ -151,8 +155,6 @@ echo_stamp "Installing CLEVER" \
&& my_travis_retry pip install -r /home/pi/catkin_ws/src/clever/clever/requirements.txt \
&& source /opt/ros/kinetic/setup.bash \
&& catkin_make -j2 -DCMAKE_BUILD_TYPE=Release \
&& catkin_make run_tests \
&& catkin_test_results \
&& systemctl enable roscore \
&& systemctl enable clever \
&& echo_stamp "All CLEVER was installed!" "SUCCESS" \
@@ -167,7 +169,6 @@ gitbook build
echo_stamp "Installing additional ROS packages"
apt-get install -y --no-install-recommends \
ros-kinetic-dynamic-reconfigure \
ros-kinetic-tf2-web-republisher \
ros-kinetic-compressed-image-transport \
ros-kinetic-rosbridge-suite \
ros-kinetic-rosserial \
@@ -177,9 +178,12 @@ apt-get install -y --no-install-recommends \
ros-kinetic-rosshow
# TODO move GeographicLib datasets to Mavros debian package
echo_stamp "Install GeographicLib datasets (needs for mavros)" \
echo_stamp "Install GeographicLib datasets (needed for mavros)" \
&& wget -qO- https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh | bash
echo_stamp "Running tests"
catkin_make run_tests && catkin_test_results
echo_stamp "Change permissions for catkin_ws"
chown -Rf pi:pi /home/pi/catkin_ws

View File

@@ -1,12 +1,16 @@
#! /usr/bin/env bash
#
# Script for install software to the image.
# Script for installing software to the image.
#
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Artem Smirnov <urpylka@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -e # Exit immidiately on non-zero result
@@ -59,7 +63,7 @@ echo_stamp "Install apt keys & repos"
curl http://repo.coex.space/aptly_repo_signing.key 2> /dev/null | apt-key add -
apt-get update \
&& apt-get install --no-install-recommends -y -qq dirmngr=2.1.18-8~deb9u4 > /dev/null \
&& apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key 421C365BD9FF1F717815A3895523BAEEB01FA116
&& apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654
echo "deb http://packages.ros.org/ros/ubuntu stretch main" > /etc/apt/sources.list.d/ros-latest.list
echo "deb http://repo.coex.space/rpi-ros-kinetic stretch main" > /etc/apt/sources.list.d/rpi-ros-kinetic.list
@@ -84,7 +88,7 @@ lsof=4.89+dfsg-0.1 \
git \
dnsmasq=2.76-5+rpt1+deb9u1 \
tmux=2.3-4 \
vim=2:8.0.0197-4+deb9u1 \
vim \
cmake=3.7.2-1 \
libjpeg8=8d1-2 \
tcpdump \
@@ -104,11 +108,19 @@ ntpdate \
python-dev \
python3-dev \
python-systemd \
mjpg-streamer=2.0 \
&& echo_stamp "Everything was installed!" "SUCCESS" \
|| (echo_stamp "Some packages wasn't installed!" "ERROR"; exit 1)
echo_stamp "Updating kernel to fix camera bug"
apt-get install --no-install-recommends -y raspberrypi-kernel=1.20190517-1
apt-get install --no-install-recommends -y \
raspberrypi-kernel=1.20190517-1 \
raspberrypi-bootloader=1.20190517-1 \
libraspberrypi-bin=1.20190517-1 \
libraspberrypi-dev=1.20190517-1 \
libraspberrypi0=1.20190517-1 \
wireless-regdb=2018.05.09-0~rpt1 \
wpasupplicant=2:2.6-21~bpo9~rpt1
# Deny byobu to check available updates
sed -i "s/updates_available//" /usr/share/byobu/status/status

View File

@@ -7,6 +7,10 @@
#
# Author: Oleg Kalachev <okalachev@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
set -ex

View File

@@ -29,6 +29,7 @@ pigpiod -v
i2cdetect -V
butterfly -h
espeak --version
mjpg_streamer --version
# ros stuff

View File

@@ -162,8 +162,6 @@ add_executable(rc src/rc.cpp)
add_executable(camera_markers src/camera_markers.cpp)
add_executable(frames src/frames.cpp)
add_executable(vpe_publisher src/vpe_publisher.cpp)
target_link_libraries(simple_offboard
@@ -175,8 +173,6 @@ target_link_libraries(rc ${catkin_LIBRARIES})
target_link_libraries(camera_markers ${catkin_LIBRARIES})
target_link_libraries(frames ${catkin_LIBRARIES})
target_link_libraries(vpe_publisher ${catkin_LIBRARIES})
add_dependencies(simple_offboard clever_generate_messages_cpp)
@@ -243,3 +239,8 @@ target_link_libraries(clever
## Add folders to be run by python nosetests
# catkin_add_nosetests(test)
if (CATKIN_ENABLE_TESTING)
find_package(rostest REQUIRED)
add_rostest(test/basic.test)
endif()

View File

@@ -24,6 +24,8 @@
<param name="known_tilt" value="map"/>
<param name="frame_id" value="aruco_map_detected" if="$(arg aruco_vpe)"/>
<param name="frame_id" value="aruco_map" unless="$(arg aruco_vpe)"/>
<param name="markers/frame_id" value="aruco_map"/>
<param name="markers/child_frame_id_prefix" value="aruco_map_"/>
</node>
<!-- vpe publisher from aruco markers -->

View File

@@ -20,6 +20,7 @@
<!-- web video server -->
<node name="web_video_server" pkg="web_video_server" type="web_video_server" if="$(arg web_video_server)" required="false" respawn="true" respawn_delay="5">
<param name="default_stream_type" value="ros_compressed"/>
<param name="publish_rate" value="1.0"/>
</node>
<!-- aruco markers -->
@@ -45,11 +46,6 @@
<param name="reference_frames/base_link" value="map"/>
</node>
<!-- Auxiliary frames -->
<node name="frames" pkg="clever" type="frames" output="screen">
<param name="body/frame_id" value="body"/>
</node>
<!-- main camera -->
<include file="$(find clever)/launch/main_camera.launch" if="$(arg main_camera)"/>

View File

@@ -24,6 +24,7 @@
<param name="rate" value="100"/> <!-- poll rate -->
<param name="cv_cap_prop_fps" value="40"/> <!-- camera FPS -->
<param name="capture_delay" value="0.02"/> <!-- approximate delay on frame retrieving -->
<param name="rescale_camera_info" value="true"/> <!-- automatically rescale camera calibration info -->
<!-- camera resolution, NOTE: camera_info file should match it -->
<param name="image_width" value="320"/>

View File

@@ -56,7 +56,7 @@
<node pkg="tf2_ros" type="static_transform_publisher" name="rangefinder_frame" args="0 0 -0.05 0 1.5707963268 0 base_link rangefinder"/>
<!-- Copter visualization -->
<node name="copter_visualization" pkg="mavros_extras" type="copter_visualization" if="$(arg viz)">
<node name="visualization" pkg="mavros_extras" type="visualization" if="$(arg viz)">
<remap to="mavros/local_position/pose" from="local_position"/>
<remap to="mavros/setpoint_position/local" from="local_setpoint"/>
<param name="fixed_frame_id" value="map"/>

View File

@@ -30,13 +30,13 @@
<depend>nodelet</depend>
<depend>mavros</depend>
<depend>mavros_extras</depend>
<depend>lxml</depend>
<depend>cv_camera</depend>
<depend>cv_bridge</depend>
<depend>opencv3</depend>
<depend>mjpg-streamer</depend>
<depend>rosbridge_server</depend>
<depend>web_video_server</depend>
<depend>tf2_web_republisher</depend>
<depend>python-lxml</depend>
<exec_depend>python-pymavlink</exec_depend>
<!-- Use test_depend for packages you need only for testing: -->
<!-- <test_depend>gtest</test_depend> -->

View File

@@ -1,63 +0,0 @@
/*
* Auxiliary TF frames for CLEVER drone kit:
* - Body frame (drone body with zero pitch and roll).
* - TODO: REP-0105 `odom` frame emulation: continuous frame without discrete jumps.
* - TODO: Terrain frame (base on ALTITUDE message).
* - TODO: map_upside_down frame
* - TODO: home frame?
*
* Copyright (C) 2018 Copter Express Technologies
*
* Author: Oleg Kalachev <okalachev@gmail.com>
*
* Distributed under MIT License (available at https://opensource.org/licenses/MIT).
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*/
// TODO: consider implementing as a mavros plugin
#include <string>
#include <memory>
#include <ros/ros.h>
#include <tf/transform_datatypes.h>
#include <tf2_ros/transform_broadcaster.h>
#include <geometry_msgs/TransformStamped.h>
#include <geometry_msgs/PoseStamped.h>
using std::string;
static std::shared_ptr<tf2_ros::TransformBroadcaster> br;
static geometry_msgs::TransformStamped body;
inline void publishBody(const geometry_msgs::PoseStamped& pose)
{
// Get only yaw from pose
tf::Quaternion q;
q.setRPY(0, 0, tf::getYaw(pose.pose.orientation));
tf::quaternionTFToMsg(q, body.transform.rotation);
body.transform.translation.x = pose.pose.position.x;
body.transform.translation.y = pose.pose.position.y;
body.transform.translation.z = pose.pose.position.z;
body.header.frame_id = pose.header.frame_id;
body.header.stamp = pose.header.stamp;
br->sendTransform(body);
}
void poseCallback(const geometry_msgs::PoseStamped& pose)
{
publishBody(pose);
}
int main(int argc, char **argv) {
ros::init(argc, argv, "frames");
ros::NodeHandle nh, nh_priv("~");
nh_priv.param<string>("body/frame_id", body.child_frame_id, "body");
br = std::make_shared<tf2_ros::TransformBroadcaster>();
ros::Subscriber pose_sub = nh.subscribe("mavros/local_position/pose", 1, &poseCallback);
ROS_INFO("frames: ready");
ros::spin();
}

View File

@@ -1,5 +1,13 @@
#!/usr/bin/env python
# Copyright (C) 2018 Copter Express Technologies
#
# Author: Oleg Kalachev <okalachev@gmail.com>
#
# Distributed under MIT License (available at https://opensource.org/licenses/MIT).
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
import math
import subprocess
import re
@@ -16,6 +24,7 @@ from sensor_msgs.msg import Image, CameraInfo, NavSatFix, Imu, Range
from mavros_msgs.msg import State, OpticalFlowRad, Mavlink
from mavros_msgs.srv import ParamGet
from geometry_msgs.msg import PoseStamped, TwistStamped, PoseWithCovarianceStamped, Vector3Stamped
from visualization_msgs.msg import MarkerArray as VisualizationMarkerArray
import tf.transformations as t
from aruco_pose.msg import MarkerArray
from mavros import mavlink
@@ -282,6 +291,13 @@ def check_aruco():
elif known_tilt == 'map_flipped':
known_tilt += ' (marker\'s map is on the ceiling)'
info('aruco_map/known_tilt = %s', known_tilt)
try:
visualization = rospy.wait_for_message('aruco_map/visualization', VisualizationMarkerArray, timeout=1)
info('map has %s markers', len(visualization.markers))
except:
failure('cannot read aruco_map/visualization topic')
try:
rospy.wait_for_message('aruco_map/pose', PoseWithCovarianceStamped, timeout=1)
except rospy.ROSException:

View File

@@ -54,6 +54,7 @@ using mavros_msgs::Thrust;
// tf2
tf2_ros::Buffer tf_buffer;
std::shared_ptr<tf2_ros::TransformBroadcaster> transform_broadcaster;
// Parameters
string local_frame;
@@ -88,6 +89,7 @@ AttitudeTarget att_raw_msg;
Thrust thrust_msg;
TwistStamped rates_msg;
TransformStamped target;
geometry_msgs::TransformStamped body;
// State
PoseStamped nav_start;
@@ -121,13 +123,36 @@ TwistStamped velocity;
NavSatFix global_position;
BatteryState battery;
// Common subcriber callback template that stores message to the variable
// Common subscriber callback template that stores message to the variable
template<typename T, T& STORAGE>
void handleMessage(const T& msg)
{
STORAGE = msg;
}
inline void publishBodyFrame()
{
if (body.child_frame_id.empty()) return;
tf::Quaternion q;
q.setRPY(0, 0, tf::getYaw(local_position.pose.orientation));
tf::quaternionTFToMsg(q, body.transform.rotation);
body.transform.translation.x = local_position.pose.position.x;
body.transform.translation.y = local_position.pose.position.y;
body.transform.translation.z = local_position.pose.position.z;
body.header.frame_id = local_position.header.frame_id;
body.header.stamp = local_position.header.stamp;
transform_broadcaster->sendTransform(body);
}
void handleLocalPosition(const PoseStamped& pose)
{
local_position = pose;
publishBodyFrame();
// TODO: terrain?, home?
}
// wait for transform without interrupting publishing setpoints
inline bool waitTransform(const string& target, const string& source,
const ros::Time& stamp, const ros::Duration& timeout)
@@ -364,13 +389,12 @@ void publish(const ros::Time stamp)
if (!target.child_frame_id.empty()) {
if (setpoint_type == NAVIGATE || setpoint_type == NAVIGATE_GLOBAL || setpoint_type == POSITION) {
static tf2_ros::TransformBroadcaster tf_broadcaster;
target.header = setpoint_position_transformed.header;
target.transform.translation.x = setpoint_position_transformed.pose.position.x;
target.transform.translation.y = setpoint_position_transformed.pose.position.y;
target.transform.translation.z = setpoint_position_transformed.pose.position.z;
target.transform.rotation = setpoint_position_transformed.pose.orientation;
tf_broadcaster.sendTransform(target);
transform_broadcaster->sendTransform(target);
}
}
@@ -689,6 +713,7 @@ int main(int argc, char **argv)
ros::NodeHandle nh, nh_priv("~");
tf2_ros::TransformListener tf_listener(tf_buffer);
transform_broadcaster = std::make_shared<tf2_ros::TransformBroadcaster>();
// Params
nh.param<string>("mavros/local_position/tf/frame_id", local_frame, "map");
@@ -697,6 +722,7 @@ int main(int argc, char **argv)
nh_priv.param("auto_release", auto_release, true);
nh_priv.param("land_only_in_offboard", land_only_in_offboard, true);
nh_priv.param("default_speed", default_speed, 0.5f);
nh_priv.param<string>("body_frame", body.child_frame_id, "body");
nh_priv.getParam("reference_frames", reference_frames);
state_timeout = ros::Duration(nh_priv.param("state_timeout", 3.0));
@@ -717,11 +743,11 @@ int main(int argc, char **argv)
// Telemetry subscribers
auto state_sub = nh.subscribe("mavros/state", 1, &handleMessage<mavros_msgs::State, state>);
auto local_position_sub = nh.subscribe("mavros/local_position/pose", 1, &handleMessage<PoseStamped, local_position>);
auto velocity_sub = nh.subscribe("mavros/local_position/velocity", 1, &handleMessage<TwistStamped, velocity>);
auto global_position_sub = nh.subscribe("mavros/global_position/global", 1, &handleMessage<NavSatFix, global_position>);
auto battery_sub = nh.subscribe("mavros/battery", 1, &handleMessage<BatteryState, battery>);
auto statustext_sub = nh.subscribe("mavros/statustext/recv", 1, &handleMessage<mavros_msgs::StatusText, statustext>);
auto local_position_sub = nh.subscribe("mavros/local_position/pose", 1, &handleLocalPosition);
// Setpoint publishers
position_pub = nh.advertise<PoseStamped>("mavros/setpoint_position/local", 1);

29
clever/test/basic.py Executable file
View File

@@ -0,0 +1,29 @@
#!/usr/bin/env python
import rospy
import pytest
from mavros_msgs.msg import State
@pytest.fixture()
def node():
return rospy.init_node('clever_test', anonymous=True)
def test_state(node):
state = rospy.wait_for_message('mavros/state', State, timeout=10)
assert state.connected == False
assert state.armed == False
assert state.guided == False
assert state.mode == ''
def test_simple_offboard_services_available():
rospy.wait_for_service('get_telemetry', timeout=5)
rospy.wait_for_service('navigate', timeout=5)
rospy.wait_for_service('navigate_global', timeout=5)
rospy.wait_for_service('set_position', timeout=5)
rospy.wait_for_service('set_velocity', timeout=5)
rospy.wait_for_service('set_attitude', timeout=5)
rospy.wait_for_service('set_rates', timeout=5)
rospy.wait_for_service('land', timeout=5)
def test_web_video_server(node):
import urllib2
urllib2.urlopen("http://localhost:8080").read()

37
clever/test/basic.test Executable file
View File

@@ -0,0 +1,37 @@
<launch>
<!-- Verify all the required nodes basically work -->
<node pkg="mavros" type="mavros_node" name="mavros" required="true" output="screen">
<param name="fcu_url" value="udp://@127.0.1:14557"/>
<rosparam command="load" file="$(find clever)/launch/mavros_config.yaml"/>
</node>
<node name="visualization" pkg="mavros_extras" type="visualization" required="true">
<remap to="mavros/local_position/pose" from="local_position"/>
<remap to="mavros/setpoint_position/local" from="local_setpoint"/>
<param name="fixed_frame_id" value="map"/>
<param name="child_frame_id" value="base_link"/>
<param name="marker_scale" value="1"/>
<param name="max_track_size" value="20"/>
<param name="num_rotors" value="4"/>
</node>
<node name="web_video_server" pkg="web_video_server" type="web_video_server" required="true" output="screen">
<param name="default_stream_type" value="ros_compressed"/>
<param name="publish_rate" value="1.0"/>
</node>
<node pkg="tf2_ros" type="static_transform_publisher" name="map_flipped_frame" args="0 0 0 3.1415926 3.1415926 0 map map_flipped" required="true"/>
<node name="simple_offboard" pkg="clever" type="simple_offboard" required="true" output="screen">
<param name="reference_frames/body" value="map"/>
<param name="reference_frames/base_link" value="map"/>
</node>
<node name="tf2_web_republisher" pkg="tf2_web_republisher" type="tf2_web_republisher" required="true"/>
<node name="rc" pkg="clever" type="rc" required="true" output="screen"/>
<param name="test_module" value="$(find clever)/test/basic.py"/>
<test test-name="basic_test" pkg="ros_pytest" type="ros_pytest_runner"/>
</launch>

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@@ -27,4 +27,4 @@ Using Fig. 1a, 1b, 2a, 2b, map its own control signal to each motor, and connect
For example, motor M3 that rotates counter-clockwise (top left corner) is controlled by signal S4 (green wire). It is connected to port 3.
![Connecting 4 in 1 ESCs](../assets/cl3_connectionESC4in1.jpg)
![Connecting 4 in 1 ESCs](../assets/en/cl3_connectionESC4in1.jpg)

View File

@@ -3,7 +3,7 @@ Clever
<img src="../assets/clever3.png" align="right" width="300px" alt="Klever">
"Clever" is an educational constructor set of a programmable quadcopter that consists of popular open source components, and a set of necessary documentation and libraries for working with it.
CLEVER (Russian: *"Клевер"*, meaning *"Clover"*) is an educational kit of a programmable quadcopter that consists of popular open source components, and a set of necessary documentation and libraries for working with it.
The kit includes a Pixhawk/Pixracer flight controller with the PX4 flight stack, a Raspberry Pi 3 as a controlling onboard computer, and a camera module for performing flights with the use of computer vision, and a set of various sensors and other peripherals.

View File

@@ -4,14 +4,14 @@
* Assembly
* [Clever 2 assembly](assemble_2.md)
* [Clever 3 assembly](assemble_3.md)
* [Installation of FPV](fpv.md)
* [Safety instruction](safety.md)
* [FPV Setup](fpv.md)
* [Safety tips](safety.md)
* [Connecting 4 in 1 ESCs](4in1.md)
* [Types of power connectors](connectortypes.md)
* [Blanching](zap.md)
* [Soldering safety](tb.md)
* [Using multimeter](test_connection.md)
* [Possible radio failures](radioerrors.md)
* [Multimeter usage](test_connection.md)
* [RC Troubleshooting](radioerrors.md)
* [Connecting GPS](gps.md)
* Configuration
* [Initial setup](setup.md)
@@ -19,31 +19,34 @@
* [Pixhawk / Pixracer Firmware](firmware.md)
* [PX4 Parameters](px4_parameters.md)
* [PID Setup](calibratePID.md)
* Work with Raspberry Pi
* Working with Raspberry Pi
* [Raspberry Pi](raspberry.md)
* [RPi Image](microsd_images.md)
* [RPi Connection to the Pixhawk](connection.md)
* [Wi-Fi connection](wifi.md)
* [SSH access to Raspberry Pi](ssh.md)
* [Configuring Wi-Fi](network.md)
* [Using QGroundControl via Wi-Fi](gcs_bridge.md)
* [Controlling Clever from a smartphone](rc.md)
* [Remote shell](ssh.md)
* [Wi-Fi Configuration](network.md)
* [Using QGroundControl over Wi-Fi](gcs_bridge.md)
* [Remote control app](rc.md)
* [UART settings](uart.md)
* [Viewing images from cameras](web_video_server.md)
* [Coordinate systems (frames)](frames.md)
* Coding
* Programming
* [ROS](ros.md)
* [MAVROS](mavros.md)
* [Simple OFFBOARD](simple_offboard.md)
* [Navigation using ArUco markers](aruco.md)
* [Automatic check](selfcheck.md)
* [Code examples](snippets.md)
* Fiducial markers (ArUco)
* [Overview](aruco.md)
* [Marker detection](aruco_marker.md)
* [Map-based navigation](aruco_map.md)
* [Automated self-checks](selfcheck.md)
* [Code snippets](snippets.md)
* [Adjusting the position of the main camera](camera_frame.md)
* [Working with the camera](camera.md)
* [Working with a LED strip on Raspberry 3](leds.md)
* [Computer vision basics](camera.md)
* [LED strip](leds.md)
* [Using rviz and rqt](rviz.md)
* [Working with the ultrasonic distance gage](sonar.md)
* [Working with a laser rangefinder](laser.md)
* [Interfacing with a sonar](sonar.md)
* [Interfacing with a laser rangefinder](laser.md)
* [PX4 Simulation](sitl.md)
* [Software autorun](autolaunch.md)
* [Controlling the copter from Arduino](arduino.md)
@@ -51,11 +54,11 @@
* Clever-based projects
* [Copter spheric guard](shield.md)
* [Face recognition system](face_recognition.md)
* [An Android transmitter](android.md)
* [Android RC app](android.md)
* [Copter Hack 2018](copterhack2018.md)
* [Copter Hack 2017](copterhack2017.md)
* Supplementary materials
* [Contribution to Clever](contributing.md)
* [Contribution Guidelines](contributing.md)
* [Flashing ESCs using BLHeliSuite](esc_firmware.md)
* [MAVLink](mavlink.md)
* [PX4 Logs and Topics](flight_logs.md)

View File

@@ -1,9 +1,8 @@
# Navigation using ArUco markers
# ArUco markers
> **Note** Documentation for the versions [of image](microsd_images.md), starting with **0.15**. For earlier versions, see [documentation for version **0.14**](https://github.com/CopterExpress/clever/blob/v0.14/docs/ru/aruco.md).
> **Note** The following applies to [image versions](microsd_images.md) **0.16** and up. Older documentation is still available [for version **0.15.1**](https://github.com/CopterExpress/clever/blob/v0.15.1/docs/ru/aruco.md).
[ArUco-Markers](https://docs.opencv.org/3.2.0/d5/dae/tutorial_aruco_detection.html) is a popular technology for positioning
robotic systems using computer vision.
[ArUco markers](https://docs.opencv.org/3.2.0/d5/dae/tutorial_aruco_detection.html) are commonly used for vision-based position estimation.
Examples of ArUco markers:
@@ -13,159 +12,13 @@ Examples of ArUco markers:
For rapid generation of markers for printing, you may use an online tool: http://chev.me/arucogen/.
## aruco\_pose
[Clever Raspberry Pi image](microsd_images.md) contains a pre-installed `aruco_pose` ROS package, which can be used for marker detection.
The `aruco_pose` module allows restoring the position of the copter relative to the map of ArUco markers and communicating it to the flight controller using the [Vision Position Estimation](https://dev.px4.io/en/ros/external_position_estimation.html) mechanism.
## Modes of operation
If the source of the copter position by the markers is available, the option appears for precise autonomous indoor navigation by the positions using the [simple_offboard](simple_offboard.md) module.
There are several preconfigured modes of operation for ArUco markers on the Clever drone:
### Turning on
* [single marker detection and navigation](aruco_marker.md);
* [map-based navigation](aruco_map.md).
Make sure that in the clever launch file \(`~/catkin_ws/src/clever/clever/launch/clever.launch`\), the start of aruco\_pose and [computer vision cameras](camera.md) is turned on:
```xml
<arg name="main_camera" default="true"/>
```
```xml
<arg name="aruco" default="true"/>
```
After the launch-file is edited, restart package `clever`:
```(bash)
sudo systemctl restart clever
```
### Calibrating the ArUco marker map
An automatically generated [ArUco-board](https://docs.opencv.org/trunk/db/da9/tutorial_aruco_board_detection.html) may be used as a map of marks.
The map of marks is adjusted using file `~/catkin_ws/src/clever/clever/launch/aruco.launch`. To use ArUco-board, enter its parameters:
```xml
<node pkg="nodelet" type="nodelet" name="aruco_pose" args="load aruco_pose/aruco_pose nodelet_manager">
<param name="frame_id" value="aruco_map_raw"/>
<!-- the type of the marker field -->
<param name="type" value="gridboard"/>
<!-- the number of markets along x -->
<param name="markers_x" value="1"/>
<!-- the number of markers along y -->
<param name="markers_y" value="6"/>
<!-- ID of the first marker (left top) -->
<param name="first_marker" value="240"/>
<!-- the length of the marker side in meters -->
<param name="markers_side" value="0.3362"/>
<!-- distance between the murders -->
<param name="markers_sep" value="0.46"/>
</node>
```
The vertical and horizontal distance between the markers may be set separately:
```xml
<!-- the horizontal distance between the markers -->
<param name="markers_sep_x" value="0.97"/>
<!-- the vertical distance between the marker -->
<param name="markers_sep_y" value="1.435"/>
```
If a map with a custom order of marker IDs is used, parameter `marker_ids` may be used:
```xml
<rosparam param="marker_ids">[5, 7, 9, 11, 13, 15]</rosparam>
```
The markers are numbered from the top left corner of the field.
For monitoring the map that is currently used by the copter for navigation, one can watch the content of topic `aruco_pose/map_image`. In a browser, it may be viewed with [web\_video\_server](web_video_server.md) by following the link [http://192.168.11.1:8080/snapshot?topic=/aruco\_pose/map\_image](http://192.168.11.1:8080/snapshot?topic=/aruco_pose/map_image):
![](../../assets/Снимок экрана 2017-11-27 в 23.20.49.png)
When flying, make sure that the markers glued to the floor correspond to the map.
In topic `aruco_pose/debug` \([http://192.168.11.1:8080/snapshot?topic=/aruco\_pose/debug](http://192.168.11.1:8080/snapshot?topic=/aruco_pose/debug)\) the current result of markers recognitions is available:
TODO
### The system of coordinates
According to [agreement](http://www.ros.org/reps/rep-0103.html), the standard ENU system of coordinates is used in the marker field:
* x — rightward \(conditional East\);
* y — forward \(conditional North\);
* z — upward.
_Note_: the definition above is provided for a situation when the marker field is on the floor.
First, the zero is the bottom left point of the marker field. The yaw angle is considered zero when the copter is faced rightward\(along the x-axis\).
![The system of markers coordinates](../assets/aruco-frame.png)
### Configuring the flight controller
Correct Vision Position Estimation requires making sure \(via [QGroundControl](gcs_bridge.md)\) that:
* **For Pixhawk**: Firmware with LPE \(local position estimator\) is installed. For Pixhawk [download firmware `px4fmu-v2_lpe.px4`](https://github.com/PX4/Firmware/releases).
**For Pixracer**: parameter `SYS_MC_EST_GROUP` should be set to`local_position_estimator, attitude_estimator_q`.
> **Note** After changing the value of parameter `SYS_MC_EST_GROUP` restart the flight controller.
* In parameter `LPE_FUSION` **only** flags `vision position`, `land detector` are enabled. The final value _20_.
* Compass disabled: `ATT_W_MAG` = 0
* Complimentary filter external heading weight: `ATT_W_EXT_HDG` = 0.5
* Orientation by yaw by vision enabled: `ATT_EXT_HDG_M` = 2 `MOCAP`.
* VPE settings: `LPE_VIS_DELAY` = 0 sec, `LPE_VIS_XY` = 0.1 m, `LPE_VIS_Z` = 0.15 m.
* Recommended settings for land detector:
* `COM_DISARM_LAND` = 1 s
* `LNDMC_ROT_MAX` = 45 deg
* `LNDMC_THR_RANGE` = 0.5
* `LNDMC_Z_VEL_MAX` = 1 m/s
<!--
For the ease of configuring, you may use a ready settings file for [Clever 2](https://github.com/CopterExpress/clever/blob/master/docs/assets/Clever2LPE_160118.params) or for [Clever 3](https://github.com/CopterExpress/clever/blob/master/docs/assets/Clever3_LPE_020218.params) and upload it to the controller using menu Tools - Load from file in tab Parameters in QGroundControl.
![](../assets/Screenshot from 2018-02-27 22-30-50.png)
-->
### Flight
A properly configured copter starts holding position by VPE \(in [modes](modes.md) `POSCTL` or `OFFBOARD`\) automatically.
For [autonomous flights](simple_offboard.md) do you will be able to use functions `navigate`, `set_position`, `set_velocity`. For flying to specific coordinates of the marker field, use frame `aruco_map`:
```python
# First, the copter has to take off to see the map of marks
# and for frame aruco_map to appear:
navigate(0, 0, 2, frame_id='body', speed=0.5, auto_arm=True) # take off to the altitude of 2 meters
time.sleep(5)
# Flying to coordinate 2:2 of the marker field at the altitude of 2 meters
navigate(2, 2, 2, speed=1, frame_id='aruco_map') # flying to coordinate 2:2 at the altitude of 3 meters
```
See [other functions](simple_offboard.md) simple_offboard.
### Location of markers on the ceiling
![Markers on the ceiling](../assets/IMG_4175.JPG)
To navigate by the markers placed on the ceiling, you need to set the main camera facing up and [set the corresponding frame of the camera](camera_frame.md).
To set the map of markers in a "turned over" system of coordinates, change parameter `aruco_orientation` in file `~/catkin_ws/src/clever/clever/aruco.launch`:
```xml
<param name="aruco_orientation" value="map_upside_down"/>
```
When this parameter is set, frame aruco\_map will also be "turned over". Thus, to fly at the altitude of 2 meters below the ceiling, argument `z` should be set to 2:
```python
navigate(x=1, y=2, z=1.1, speed=0.5, frame_id='aruco_map')
> **Info** Additional documentation for the `aruco_pose` ROS package is available [on GitHub](https://github.com/CopterExpress/clever/blob/master/aruco_pose/README.md).

139
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@@ -0,0 +1,139 @@
# Map-based navigation with ArUco markers
> **Info** Marker detection requires the camera module to be correctly plugged in and [configured](camera.md).
<!-- -->
> **Hint** We recommend using our [custom PX4 firmware](firmware.md).
`aruco_map` module detects whole ArUco-based maps. Map-based navigation is possible using vision position estimate (VPE).
## Configuration
In order to enable map detection set `aruco_map` and `aruco_detect` arguments to `true` in `~/catkin_ws/src/clever/clever/launch/aruco.launch`:
```xml
<arg name="aruco_detect" default="true"/>
<arg name="aruco_map" default="true"/>
```
Set `aruco_vpe` to `true` to publish detected camera position to the flight controller as VPE data:
```xml
<arg name="aruco_vpe" default="true"/>
```
## Marker map definition
Map is defined in a text file; each line has the following format:
```
marker_id marker_size x y z z_angle y_angle x_angle
```
`N_angle` is the angle of rotation along the `N` axis in radians.
Map path is defined in the `map` parameter:
```xml
<param name="map" value="$(find aruco_pose)/map/map.txt"/>
```
Some map examples are provided in [`~/catkin_ws/src/clever/aruco_pose/map`](https://github.com/CopterExpress/clever/tree/master/aruco_pose/map).
Grid maps may be generated using the `genmap.py` script:
```bash
rosrun aruco_pose genmap.py length x y dist_x dist_y first > ~/catkin_ws/src/clever/aruco_pose/map/test_map.txt
```
`length` is the size of each marker, `x` is the marker count along the *x* axis, `y` is the marker count along the *y* axis, `dist_x` is the distance between the centers of adjacent markers along the *x* axis, `dist_y` is the distance between the centers of the *y* axis, `first` is the ID of the first marker (bottom left marker, unless `--top-left` is specified), `test_map.txt` is the name of the generated map file. The optional `--top-left` parameter changes the numbering of markers, making the top left marker the first one.
Usage example:
```bash
rosrun aruco_pose genmap.py 0.33 2 4 1 1 0 > ~/catkin_ws/src/clever/aruco_pose/map/test_map.txt
```
### Checking the map
The currently active map is posted in the `/aruco_map/image` ROS topic. It can be viewed using [web_video_server](web_video_server.md) by opening the following link: http://192.168.11.1:8080/snapshot?topic=/aruco_map/image
<img src="../assets/aruco-map.png" width=600>
Current estimated pose (relative to the detected map) is published in the `aruco_map/pose` ROS topic. If the VPE is disabled, the `aruco_map` [TF frame](frames.md) is created; otherwise, the `aruco_map_detected` frame is created instead. Visualization for the current map is also posted in the `aruco_map/visualization` ROS topic; it may be visualized in [rviz](rviz.md).
An easy to understand detected map visualization is posted in the `aruco_map/debug` ROS topic (live view is available on http://192.168.11.1:8080/stream_viewer?topic=/aruco_map/debug):
<img src="../assets/aruco-map-debug.png" width=600>
## Coordinate system
The marker map adheres to the [ROS coordinate system convention](http://www.ros.org/reps/rep-0103.html), using the <abbr title="East-North-Up">ENU</abbr> coordinate system:
* the **<font color=red>x</font>** axis points to the right side of the map;
* the **<font color=green>y</font>** axis points to the top side of the map;
* the **<font color=blue>z</font>** axis points outwards from the plane of the marker
<img src="../assets/aruco-map-axis.png" width="600">
## VPE setup
In order to enable vision position estimation you should use the following [PX4 parameters](px4_parameters.md).
If you're using **EKF2** estimator (`SYS_MC_EST_GROUP` parameter is set to `ekf2`), make sure the following is set:
* `EKF2_AID_MASK` should have `vision position fusion` and `vision yaw fusion` flags set.
* Vision angle observations noise: `EKF2_EVA_NOISE` = 0.1 rad.
* Vision position observations noise: `EKF2_EVP_NOISE` = 0.1 m.
* `EKF2_EV_DELAY` = 0.
If you're using **LPE** (`SYS_MC_EST_GROUP` parameter is set to `local_position_estimator,attitude_estimator_q`):
* `LPE_FUSION` should have `vision position` and `land detector` flags set. We suggest unsetting the `baro` flag for indoor flights.
* External heading (yaw) weight: `ATT_W_EXT_HDG` = 0.5.
* External heading (yaw) mode: `ATT_EXT_HDG_M` = 1 (`Vision`).
* Vision position standard deviations: `LPE_VIS_XY` = 0.1 m, `LPE_VIS_Z` = 0.1 m.
* `LPE_VIS_DELAY` = 0 sec.
> **Hint** In order to use LPE with the Pixhawk v1 hardware you should download the [`px4fmu-v2_lpe.px4` firmware](firmware.md)
## Flight
If the setup is done correctly, the drone will hold its position in `POSCTL` and `OFFBOARD` [flight modes](modes.md) automatically.
You will also be able to use `navigate`, `set_position` and `set_velocity` ROS services for [autonomous flights](simple_offboard.md). In order to fly to a specific coordinate within the ArUco map you should use the `aruco_map` frame:
```python
# Takeoff should be performed in the "body" frame; "aruco_map" frame will appear as soon as the drone detects the marker field
navigate(0, 0, 2, frame_id='body', speed=0.5, auto_arm=True) # Takeoff and hover 2 metres above the ground
time.sleep(5)
# Fly to the (2, 2) point on the marker field while being 2 metres above it
navigate(2, 2, 2, speed=1, frame_id='aruco_map')
```
## Additional settings
If the drone's position is not stable when VPE is used, try increasing the *P* term in the velocity PID regulator: increase the `MPC_XY_VEL_P` and `MPC_Z_VEL_P` parameters.
If the drone's altitude is not stable, try increasing the `MPC_Z_VEL_P` parameter and adjusting hover thrust via `MPC_THR_HOVER`.
## Placing markers on the ceiling
![Ceiling markers](../assets/IMG_4175.JPG)
In order to navigate using markers on the ceiling, mount the onboard camera so that it points up and [adjust the camera frame accordingly](camera_frame.md).
You should also set the `known_tilt` parameter to `map_flipped` in both `aruco_detect` and `aruco_map` sections of `~/catkin_ws/src/clever/clever/launch/aruco.launch`:
```xml
<param name="known_tilt" value="map_flipped"/>
```
This will flip the `aruco_map` frame (making its **<font color=blue>z</font>** axis point downward). Thus, in order to fly 2 metres below ceiling, the `z` argument for the `navigate` service should be set to 2:
```python
navigate(x=1, y=1.1, z=2, speed=0.5, frame_id='aruco_map')
```

111
docs/en/aruco_marker.md Normal file
View File

@@ -0,0 +1,111 @@
# ArUco marker detection
> **Info** Marker detection requires the camera module to be correctly plugged in and [configured](camera.md).
`aruco_detect` module detects ArUco markers and publishes their positions in ROS topics and as [TF frames](frames.md).
This is useful in conjunction with other positioning systems, such as [GPS](gps.md), [Optical Flow](optical_flow.md), PX4Flow, visual odometry, ultrasonic ([Marvelmind](https://marvelmind.com)) or UWB-based ([Pozyx](https://www.pozyx.io)) localization.
Using this module along with [map-based navigation](aruco_map.md) is also possible.
## Setup
Set the `aruco_detect` argument in `~/catkin_ws/src/clever/clever/launch/aruco.launch` to `true` to automatically launch the module:
```xml
<arg name="aruco_detect" default="true"/>
```
For the module to work correctly the following parameters should be set:
```xml
<param name="length" value="0.32"/> <!-- length of a single marker, in meters (excluding the white border) -->
<param name="estimate_poses" value="true"/> <!-- position estimation for single markers -->
<param name="send_tf" value="true"/> <!-- TF frame creation for markers -->
<param name="known_tilt" value="map"/> <!-- Marker tilt, explained below -->
```
`known_tilt` should be set to:
* `map` if *all* markers are on the ground;
* `map_flipped` if *all* markers are on the ceiling;
* an empty string otherwise.
You may specify length for each marker individually by using the `length_override` parameter:
```xml
<param name="length_override/3" value="0.1"/> <!-- marker with id=3 has a side of 0.1m -->
<param name="length_override/17" value="0.25"/> <!-- marker with id=17 has a side of 0.25m -->
```
## Coordinate system
Each marker has its own coordinate systems. It is aligned as follows:
* the **<font color=red>x</font>** axis points to the right side of the marker;
* the **<font color=green>y</font>** axis points to the top side of the marker;
* the **<font color=blue>z</font>** axis points outwards from the plane of the marker
<img src="../assets/aruco-axis.png" width="300">
## Working with detected markers
Navigation within the marker-based TF frames is possible with `simple_offboard` node.
Sample code to fly to a point 1 metre above marker with id 5:
```python
navigate(frame_id='aruco_5', x=0, y=0, z=1)
```
Sample code to fly to a point 1 metre to the left and 2 metres above marker with id 7:
```python
navigate(frame_id='aruco_7', x=-1, y=0, z=2)
```
Sample code to rotate counterclockwise while hovering 1.5 metres above marker id 10:
```python
navigate(frame_id='aruco_10', x=0, y=0, z=1.5, yaw_rate=0.5)
```
Note that if the required marker isn't detected for 0.5 seconds after the `navigate` command, the command will be ignored.
These frames may also be used in other services that accept TF frames (like `get_telemetry`). The following code will get the drone's position relative to the marker with id 3:
```python
telem = get_telemetry(frame_id='aruco_3')
```
Note that if the required marker isn't detected for 0.5 seconds, the `telem.x`, `telem.y`, `telem.z`, `telem.yaw` fields will contain `NaN`.
## Handling marker detection in Python
The following snippet shows how to read the `aruco_detect/markers` topic in Python:
```python
import rospy
from aruco_pose.msg import MarkerArray
rospy.init_node('my_node')
# ...
def markers_callback(msg):
print 'Detected markers:':
for marker in msg.markers:
print 'Marker: %s' % marker
# Create a Subscription object. Each time a message is posted in aruco_detect/markers, the markers_callback function is called with this message as its argument.
rospy.Subscriber('aruco_detect/markers', MarkerArray, markers_callback)
# ...
rospy.spin()
```
Each message contains the marker ID, its corner points on the image and its position relative to the camera.
---
Suggested reading: [map-based navigation](aruco_map.md)

View File

@@ -9,30 +9,30 @@ Clever 2 construction kit assembly instruction
* Central frame ×2.
* Additional frame ×4.
* Beam ×8.
* Motor mount ×8.
* Legs x8.
* Beam guard ×8.
* Motor mount guard ×8.
* Propeller guard ×16.
* Side guard ×16.
* Dalprop 5045 plastic propeller ×4.
* Racerstar BR2205 2300kV brushless motor ×4.
* Speed adjusters ESC, DYS XSD20А ×4.
* Speed controllers ESC, DYS XSD20А ×4.
* Power controller XT60 pin ×1.
* Power connector XT60 socket ×1.
* Three-wire female-female flat cable ×2.
* Wire copper multicore silicone insulated cable 14AWG (red, black), 50 cm long
* Multicore silicone insulated copper wire 14AWG (red, black), 50 cm long
* Power distribution board PDB BeeRotor Power Distribution Board V2.0 ×1.
* Li-ion rechargeable battery (battery) 18650 ×8.
* EFEST Luc V4 Li-lon Charger ×1.
* Regulators protective case ×4.
* Protective case for regulators ×4.
* Legs attachment ×8.
* Pixhawk flight controller ×1.
* FlySky i6 radio receiver×1.
* FlySky i6 radio receiver ×1.
* FlySky i6 radio transmitter ×1.
* EFEST LUC V4 Charger ×1.
* Micro USB to USB Cable ×1
* Battery compartment 18650 li-Ion ×1
* Wire copper multicore silicone insulated cable 18AWG (red, black), 100 cm long
* Multicore silicone insulated copper wire 18AWG (red, black), 100 cm long
* AA battery ×4
* Jumper, Bind-plug
@@ -45,16 +45,16 @@ Clever 2 construction kit assembly instruction
* М3х16 screws ×40.
* Plastic nuts ×8.
* Metal nuts ×48.
* Stickers for the compartment battery ×8.
* Stickers for the battery compartment ×8.
* Thermal contraction tube ⌀15, .50 cm
* Thermal contraction tube ⌀5, 100 cm
* Double-sided 3M adhesive tape ×16.
* Screwdriver ×1 (visualization needed)
* Insulation tape ×1
* Stationery scissors ×1
* Scissors ×1
* Strap for the battery 250 mm ×1
## Functionality of the Flysky i6 transmitter
## Flysky i6 transmitter
1. Switch A (SwA).
2. Switch B (SwB).
@@ -97,7 +97,7 @@ Clever 2 construction kit assembly instruction
### Installation of motors
* Unpack the motors. Using pliers, shorten the wires on the motors by cutting half the length (leaving about 25 mm).
* Unpack the motors. Using pliers, shorten the wires on the motors by cutting half their length (leaving about 25 mm).
![brrc2205 motor](../assets/brrc2205.png)
@@ -107,44 +107,44 @@ Strip
Twist the wires.
Blanch
Tin wires
* Apply flux to the exposed part of the wire.
* Cover the solder using tweezers.
![Blanching](../assets/zap.jpg)
![Tinning](../assets/zap.jpg)
#### Fix the motor on the beam
#### Fix the motor on the mount
* Install the motor on the engraved side of the beam.
* Attach the motors to the beams with М3х8 screws using a screwdriver.
* Install the motor on the engraved side of the mount.
* Attach the motors to the mounts with М3х8 screws using a screwdriver.
![Fix the motor on the beam](../assets/brrc2205on.jpg)
![Fix the motor on the mount](../assets/brrc2205on.jpg)
* Beams with motors should be arranged according to the diagram. The arrows indicate the direction of motors rotation.
* Mounts with motors should be arranged according to the diagram. The arrows indicate the direction of motor rotation direction.
![Rotation of motors](../assets/brrc2205ondeck.jpg)
### Blanch three contact pads of the adjuster
### Tin three contact pads of the speed controller
* Apply flux
* Apply solder
To make solder neatly fill the entire pad, warm up the contact pad of the adjuster. For this purpose, hold the tip of the soldering gun to the contact pad for 2 seconds (or more if needed)
By warming up the contact pads of the controller, the tin will evenly fill the entire pad. To do so, apply heat by holding the soldering iron on the contact pads for 2 sencods (or more if needed).
![Blanching of the adjuster contact pads](../assets/escDYSzap.png)
![Tinning of the controller contact pads](../assets/escDYSzap.png)
* Repeat this operation for the remaining three ESC
### Solder the wires of the motors to the ESC
Solder the prepared wires of the motors to the pads of ESC.
Solder the prepared wires of the motors to the pads of the controllers.
![Solder wires of motors to ESC](../assets/solderingBrrc2205ondeckTOescDYSzap.png)
![Solder wires of motors to the controllers](../assets/solderingBrrc2205ondeckTOescDYSzap.png)
* Repeat this operation for the remaining three ESC
### Installation of power connectors
### Power connectors installation
#### Preparing wires for XT60 power connectors
@@ -154,7 +154,7 @@ Solder the prepared wires of the motors to the pads of ESC.
* Length 7 cm (XT60 pin power connector) - 1 red, 1 black
* Length 9 cm (XT60 socket power connector) - 1 red, 1 black
![Preparing wires for the power connector](../assets/cutwire14AWG.jpg)
![Preparing wires for the power connector](../assets/en/cutwire14AWG.jpg)
#### Preparing XT60 pin and XT60 socket high-power connectors
@@ -162,23 +162,23 @@ Solder the prepared wires of the motors to the pads of ESC.
![XT60 high-power connector](../assets/xt60pinsocket.jpg)
1. Blanch two red and black 14AWG power wires 7 cm long for the XT60 pin connector .
2. Blanch contact pads of the XT60 pin connector.
1. Tin two red and black 14AWG 7 cm long power wires for the XT60 pin connector.
2. Tin contact pads of the XT60 pin connector.
3. Solder the black wire to the “-” contact of the connector.
4. Solder the red wire to the “+” contact of the connector .
5. Cut ⌀5 thermal contraction tube (2 sections × 10 mm).
6. Put the ⌀5 thermal contraction tube on the wires so that it covers the contact pads of the wires from XT60.
7. Shrink the thermal contraction tube with a hot air gun. ![Installation of XT60 connectors](../assets/mountxt60pinsocket.png)
4. Solder the red wire to the “+” contact of the connector.
5. Cut ⌀5 heat-shrink tubing (2 sections × 10 mm).
6. Slip the ⌀5 heat-shrink tubing tube on the wires so that they cover the contact pads of the wires from XT60.
7. Shrink the heat-shrink tubing with a hot air gun. ![Installation of XT60 connectors](../assets/mountxt60pinsocket.png)
8. Repeat the procedure for XT60 socket connector.
#### Preparation of the power connector for the 5V control circuit
#### Preparation of the 5V power connectors for the control circuit
1. Trim/pull all pins from one of the connectors. Disconnect it.
2. Using a utility knife, pry the retainer off on the remaining connector to release the 3rd wire.
1. Trim/pull out all pins from one of the connectors. Disconnect it.
2. Using an utility knife, pry the retainer off on the remaining connector to release the 3rd wire.
3. Remove the 3rd (orange) wire from the connector, since it is not needed.
4. The length of the remaining black and red wires should be 10 12 cm.
4. The length of the remaining black and red wires should be of 10 12 cm.
![Installation of the 5V connector](../assets/mount5vconnector.jpg)
![Installation of the 5V connector](../assets/en/mount5vconnector.jpg)
### Installation of the power distribution board
@@ -188,29 +188,29 @@ Solder the prepared wires of the motors to the pads of ESC.
![ Pre-soldering check](../assets/startPDBtest.jpg)
Check OPEN CONDITION of the following circuits (absence of the multimeter sound signal):
Check OPEN CONDITION of the following circuits (the multimeter does not beep):
* “BAT+” and “BAT-”
* “12V” and “GND”
* “5V” and “GND”
Check CLOSED CONDITION of the following circuits (presence of the multimeter sound signal):
Check CLOSED CONDITION of the following circuits (the multimeter beeps):
* “BAT-” with every contact marked “-” and “GND”
* “BAT+”, with every contact marked “+”
### Blanch the contact pads of the power board
### Tin the contact pads of the power board
1. [Blanch*] (zap.md) the contact pads of the power board
2. Using a multimeter, check absence of contact closure on the PCB (check continuity)
1. [Tin*] (zap.md) the contact pads of the power board.
2. Using a multimeter, check absence of short-circuits on the PCB (check continuity).
![ After-soldering check](../assets/zapPDBtest.jpg)
![ After-soldering check](../assets/en/zapPDBtest.jpg)
To make solder neatly fill the entire pad, it should be warmed up. For this purpose, hold the tip of the soldering gun to the contact pad for 2 seconds (or more if needed)
By warming up the contact pads of the controller, the tin will evenly fill the entire pad. To do so, apply heat by holding the soldering iron on the contact pads for 2 sencods (or more if needed).
#### Soldering the XT60 high power connector
Solder the connector for battery, observing polarity on the contact pads.
Solder the connector for battery, taking into account the polarity on the contact pads.
![Soldering of XT60 to PDB](../assets/solderingxt60socketTOpdb.jpg)
@@ -221,7 +221,7 @@ IMPORTANT NOTE about polarity
#### Soldering of the power connector for the 5V control circuit
Solder the 5V connector, observing polarity on the contact pads.
Solder the 5V connector, taking into account the polarity on the contact pads.
(in the picture: the red wire is “+”)
![Soldering of 5V to PDB](../assets/solderingxt60socketTOpdb.jpg)
@@ -232,32 +232,32 @@ Solder the 5V connector, observing polarity on the contact pads.
![Jumper](../assets/jumper.png)
* Cut off 2 cm length of the high-power wire
* Cut off 2 cm of high-power wire.
* Strip on both ends.
* Blanch
* Make 3 jumpers
* Tin.
* Make 3 jumpers.
* Solder the jumpers according to the diagram.
* Check continuity with a multimeter. If necessary, clean with sand paper.
* Check for continuity with a multimeter. If necessary, clean with sand paper.
#### Preparation of the battery compartment
![Preparation of the battery compartment](../assets/casebattery.png)
* Glue a sticker with marking to the inside of the battery compartment in accordance with the polarity.
* Conforming to the polarity, glue the sticker with markings inside the battery compartment.
* Stick a strip of adhesive tape to the bottom of the compartment.
### Installation of the power distribution board
* Fix the power board to the frame with М3х8 screws and plastic nuts. ![Installation of the PDB board](../assets/mountPDB.png)
> **IMPORTANT** An arrow on the board points to the fore cutout
> **IMPORTANT** The white arrow on the BeeRotor board points towards the fore cutout.
![Installation of the PDB board](../assets/topviewmountPDB.png)
#### Installation of elements
1. Install the nuts into plastic holders. ![Installation of plastic holders](../assets/holderLegs.png)
2. Fix the beams to the frame with М3х16 screws
* The beams are installed on top of the frame
* Plastic holders are installed on the bottom of the frame. ![Installation of beams](../assets/mountBeams.png)
2. Fix the motor mounts to the frame with М3х16 screws.
* The mounts are installed above the frame.
* Plastic holders are installed beneath the frame. ![Installation of mounts](../assets/mountBeams.png)
3. Arrangement of motors. Check arrangement of the motors (the motors with black nuts should be in the top left and lower right corners). ![Arrangement of motors](../assets/motorsTopview.png)
4. Put the power wires of the ESC through the holes. ![high-power wires of motors](../assets/escWires.png)
@@ -274,19 +274,19 @@ IMPORTANT NOTE about polarity
### Pairing the receiver and transmitter
1. Connect the radio receiver to the 5V connector. In any connector, GND in the bottom. In the diagram, the power is labeled 5V ![Connecting the receiver power](../assets/receiver5V.png)
1. Connect the radio receiver to the 5V connector. In any connector the GND is in the bottom. In the diagram, the power is labeled 5V ![Connecting the receiver power](../assets/receiver5V.png)
2. Connect the battery. The LED on the radio receiver should be flashing. ![Connecting the battery]
#### SAFETY when working with the battery
![SAFETY when working with the battery](../assets/safetyPower.png)
![SAFETY when working with the battery](../assets/en/safetyPower.png)
#### Enabling the transmitter
1. Insert the jumper into B/VCC of the radio receiver (short-circuit "ground" and "signal")
1. Insert the jumper into B/VCC of the radio receiver (short "ground" and "signal")
2. On the transmitter, hold down the BIND KEY button.
3. Power up the transmitter (flip the POWER switch, do not release BIND KEY).
4. Connect the battery to the copter.
4. Connect the battery to the drone.
5. Wait for synchronization.
6. Disconnect the jumper.
7. The LED will remain ON continuously.
@@ -295,25 +295,25 @@ IMPORTANT NOTE about polarity
[Radio equipment troubleshooting manual](radioerrors.md)
### Checking the motors rotation direction
### Checking the motors direction of rotation
1. Apply stickers to the 18650 battery.
2. Install the 18650 battery into the compartment observing polarity. ![Battery compartment readiness](../assets/readyBatteryholder.png)
1. Apply stickers to the 18650 batteries.
2. Install the 18650 batteries into the compartment observing polarity. ![Battery compartment readiness](../assets/readyBatteryholder.png)
3. Check that the 5V power plug is connected to the receiver according to the circuit diagram.
4. Connect the motor ESC to channel 3 of the CH3 receiver according to the circuit diagram. ![Connecting the ESC to the receiver](../assets/connectionESCtoReceiver.png)
4. Connect the motor ESC to channel 3, marked as CH3 on the receiver as on the circuit diagram. ![Connecting the ESC to the receiver](../assets/connectionESCtoReceiver.png)
5. Connect external power (battery).
6. Turn the transmitter ON
6. Turn the transmitter ON.
7. Using the left stick, set throttle to 10 %.
8. Check the motor rotation direction according to the scheme. ![Checking motors rotation](../assets/testMotors.jpg)
9. If you have to change the rotation direction, toggle any two phase wires of the motor (needs resoldering). ![Resoldering phase wires](../assets/resolderingESC.png)
8. Check the motor direction of rotation according to the scheme. ![Checking motors rotation](../assets/testMotors.jpg)
9. If you have to change the rotation direction, swap any two phase wires of the motor (needs resoldering). ![Resoldering phase wires](../assets/resolderingESC.png)
### Installation of the radio receiver
1. Install the 30 mm plastic legs on the frame with М3х8 screws.
2. Pass the 5V power connector through the slot. ![Installation of legs and the slot](../assets/mountReceiverStud.png)
3. Attach the receiver to the bottom of the additional frame using double-sided adhesive tape and noting the engraving. The antennas are to be pointing forward. ![Installation of the radio receiver on the deck](../assets/mountReceiverDeck.png)
2. Pass the 5V power connector through the slit. ![Installation of legs and the slot](../assets/mountReceiverStud.png)
3. Attach the receiver to the bottom of the additional frame using double-sided adhesive tape and following the orientation of the engraved arrow. The antennas are to be pointing forward. ![Installation of the radio receiver on the deck](../assets/mountReceiverDeck.png)
4. Install the 3-wire flat cable into the PPM / CH1 channel. ![Connecting the radio receiver](../assets/receiverPPM.png)
5. Pass through the slot to the 5 V connector.
5. Pass them through the slit to the 5 V connector.
6. Screw the bottom an additional frame to the legs on the central frame with М3х8 screws. ![Bottom deck installation](../assets/mountBottomDeck.png)
> **IMPORTANT** The directions of the arrows on the power supply board and the additional frame should coincide
@@ -337,16 +337,16 @@ should be increased up to 4 5.
2. Motors to MAIN OUT ports 1,2,3,4, according to the circuit diagram
3. Power by PDB (5V/VCC) to any port except for SB (SBUS)
![Connecting the flight controller](../assets/connectionPixhawk.png)
![Connecting the flight controller](../assets/en/connectionPixhawk.png)
### ESC assembly
1. Stick the double-sided adhesive tape to the base of ESC protective case ![Adhesive tape on the ESC case](../assets/escCase.png)
2. Put the ESCs into protective cases. Fasten the assembly to the beams of the frame. ![ESC cases top view](../assets/topESCcaseview.png)
1. Stick the double-sided adhesive tape to the base of the ESC protective case ![Adhesive tape on the ESC case](../assets/escCase.png)
2. Put the ESCs into protective cases. Fasten the assembly to the motor mounts of the frame. ![ESC cases top view](../assets/topESCcaseview.png)
### Installation of guard
1. Attach the lower guard with М3х16 screw to the beams of the frame. ![Installation of beams guard](../assets/lowsafeDeck.png)
1. Attach the lower guard with М3х16 screw to the motor mounts of the frame. ![Installation of beams guard](../assets/lowsafeDeck.png)
2. Attach the feet to the plastic holders with М3х16 screws. ![Feet installation](../assets/safeLegs.png)
3. Attach the 30 mm long legs to the holes of the lower guard with М3х12 screw. ![Installation of the lower radial guard](../assets/safelowRadial.png)
4. Attach the top guard with М3х12 screws. ![Installation of the top radial guard](../assets/safehighRadial.png)
@@ -360,7 +360,7 @@ Requires the following components:
* Additional frame (1 pc)
* Battery compartment (1 pc)
1. Attach the battery compartment on the top additional frame with М3х12 screws and nuts. ![Installation of the battery compartment](../assets/mountHolder.png)
1. Attach the battery compartment on top of the additional frame with М3х12 screws and nuts. ![Installation of the battery compartment](../assets/mountHolder.png)
2. Attach the top additional frame to the legs with М3х8 screws. ![Installation of the battery compartment](../assets/isoViewmountHolder.png)
3. Install the battery into the battery compartment.
@@ -370,13 +370,13 @@ Requires the following components:
![Installation of the battery compartment](../assets/mountAntenna.png)
The copter is ready for configuration!
The drone is ready for configuration!
## Safety notes for assembly ans configuration
## Safety notes for assembly and configuration
1. Remove the propellers.“All ground operations are to be performed with propellers removed. Propellers are to be installed on the motors before the flight only.”
2. Disconnect the battery. Keep the power off. “Assembly, configuration, and maintenance should be performed with power disconnected. Connect power only for testing electronic components of the copter. After testing, power is to be disconnected before other works.”
3. Call for help. “If you experience problem when completing the task, contact the instructor or the teacher, do not try to solve the problem yourself.”
2. Disconnect the battery. Keep the power off. “Assembly, configuration, and maintenance should be performed with power disconnected. Connect power only for testing electronic components of the drone. After testing, power is to be disconnected before other works.”
3. Call for help. “If you experience problem when working with the drone, contact the instructor or the teacher, do not try to solve the problem yourself.”
![Safety during assembly](../assets/safetybyassem.png)
@@ -384,6 +384,6 @@ The copter is ready for configuration!
1. Handle batteries carefully. Avoid falls, bumps, and deformations.
2. When connecting (disconnecting) batteries, hold only the connectors, never pull or tug the wires.
3. If you see open connectors, violation of insulation or battery compartment integrity, do not touch it, and immediately inform the instructor.
3. If you see open connectors, violation of insulation or battery compartment integrity, do not touch it, and immediately inform the instructor or teacher.
See article [safety precautions when soldering and during copter flight operation](safety.md)
See article [safety precautions when soldering and during drone flight operation](safety.md)

View File

@@ -14,62 +14,62 @@ TODO
## Additional equipment
![Additional equipment](../assets/additonal_eqipment.jpg)
![Additional equipment](../assets/en/additonal_eqipment.jpg)
## Conventional symbols
![Conventional symbols](../assets/conditional_refer.jpg)
![Conventional symbols](../assets/en/conditional_refer.jpg)
## Installation of motors
## Motor installation
1. Unpack the motors.
2. Attach a motor to the beam with М3х6 hex screws (the shortest screws supplied with the motors).
2. Attach a motor to the motor mount with М3х6 hex screws (the shortest screws supplied with the motors).
A hex wrench included.
A hex wrench is included.
3. Insert M3 nuts (4 pcs) into the plastic holder.
For convenience, you can use a long screw or pliers
The choice is yours to use a long screw or pliers.
4. Secure the beam, the lower beam guard and the holder with М3х12 screws, using a Phillips screwdriver.
5. Using a clamp connect the beam and the bottom guard of the beam.
4. Secure the motor mount, the lower motor mount guard and the holder with М3х12 screws, using a Phillips screwdriver.
5. Using a clamp connect the motor mount and its bottom guard.
Cut the remaining part of the clamp (tie wrap) with scissors.
Cut the remaining part of the clamp (cable tie) with scissors.
![Preparation of motors](../assets/cl3_prepareMotors.JPG)
![Preparation of motors](../assets/en/cl3_prepareMotors.JPG)
## Installation of frame elements
## Frame elements installation
1. Insert the M3 plastic nuts (4 pcs) for mounting the PDB on the frame with М3х8 screws.
2. Install 6 mm legs (4 pcs) for attaching the Raspberry Pi to the frame with М3х8 screws.
3. Attach the assembled unit to the frame with М3х16 screws, complying with the layout.
4. Install the frame for the LED strip, using the slots in the leg holders.
![Legs installation on the frame](../assets/cl3_mountElements.JPG)
![Legs installation on the frame](../assets/en/cl3_mountElements.JPG)
## Installation of the BEC voltage converter (to be soldered and tested)
## BEC voltage converter installation(to be soldered and tested)
1. Unpack the power board and install the power flat cable.
1. Unpack the power board and install the power ribbon cable.
2. Switch the multimeter in the DC voltage measurement mode (20V or 200V range).
3. Check operation of the power board by connecting the battery
3. Check the correct functionning of the power board by connecting the battery.
* Voltage measurements are to be made between black and red wires.
* Output voltage at the XT30 connector should be equal to the battery voltage (10 V to 12.6 V).
* The output voltage at the power flat cable should be between 4.9 V to 5.3 V.
* To be measured between the black and the red wires.
* The output voltage at the power ribbon cable should be between 4.9 V to 5.3 V.
4. Unpack the voltage converter and remove the transparent insulation.
5. Solder two additional wires to the BEC
* Take 3 male-female wires from the kit (red, black, and any color)
* The red and black wires [are to be blanched](zap.md) on both ends using tweezers. The blue wire is to be blanched from the side of the MALE connector.
* The red and black wires [are to be tinned](zap.md) on both ends using tweezers. The blue wire is to be tinned from the side of the MALE connector.
To blanch means:
To tin means:
* Apply flux to the exposed part of the wire.
* Cover with solder.
* Cover with tin.
* Solder the red and the black wires to BEC:
BLACK -> OUT-
RED -> OUT+
6. Check BEC operation.
6. Check BEC functionning.
* Solder the BEC to the power board:
BLACK -> -
@@ -77,25 +77,25 @@ TODO
* Connect the battery and check the voltage at the wires soldered to BEC (from step 5).
5 V - everything is okay!
5 V - great, everything is working properly!
more than 10 V - disconnect the power and move the yellow jumper to the other tweezers.
0 V - poorly soldered.
* If the BEC outputs 5 V, isolate the soldered connection with a black thermal contraction tube.
7. Installation of the LED strip.
0 V - not soldered properly.
* If the BEC outputs 5 V, isolate the soldered connection with a black heat-shrink tubing.
7. LED strip installation
* Solder the wires from BEC (from step 5) to the LED strip.
* Remove the silicone layer on the strip (make an incision with a knife and tear).
* [Blanch](zap.md) the contacts of the LED strip.
* [Tin](zap.md) the contacts of the LED strip.
Red -> +5V
Black -> GND
Blue -> Din
![Installation of the BEC voltage Converter](../assets/cl3_mountBEC.JPG)
![Installation of the BEC voltage Converter](../assets/en/cl3_mountBEC.JPG)
## Installation of the 4 in 1 ESC board and the PDB power-board
## 4 in 1 ESC board and the PDB power-board installation
1. Install the 4 in 1 ESC circuit-board as shown in the picture.
@@ -105,7 +105,7 @@ TODO
Screw M3 plastic nuts (4 PCs.) to the legs.
3. Install the PDB power distribution board as shown in the picture (the XT60 connector should point to the tail of the copter).
3. Install the PDB power distribution board as shown in the picture (the XT60 connector should point to the tail of the drone).
4. Connect the wires of the PCB power supply board and ESC XT30 board.
![Power board installation](../assets/cl3_mountESC.JPG)
@@ -130,7 +130,7 @@ TODO
> **Hint** If the remote cannot be powered on, or is blocked, see
article [remote faults](radioerrors.md).
## Checking the motors rotation direction
## Checking the directions of motors rotation
1. Turn the transmitter ON
@@ -143,14 +143,14 @@ article [remote faults](radioerrors.md).
2. Connect the S1 orange wire from the ESC board to CH3 on the receiver. Connect external power.
3. Using the left stick, set throttle to 10 %.
4. Check the motor rotation direction according to the scheme. Repeat for each motor. Thus, it will be clear which motor is controlled.
5. If you have to change the rotation direction, toggle any two phase wires of the motor (needs re-connection).
5. If you have to change the rotation direction, swap any two phase wires of the motor (needs re-connection).
![Checking the motors rotation direction](../assets/cl3_testMotorsFlysky.JPG)
## Installation and connection of the Pixracer flight controller
1. Install the Pixracer flight controller on double-sided 3M adhesive tape (2 3 layers).
The flight controller may also be removed from the housing and rigidly mounted on the М3х6 leg.
The flight controller may also be removed from the housing and firmly mounted on the М3х6 leg.
2. Install 40 mm legs using М3х87 screws.
@@ -160,23 +160,23 @@ article [remote faults](radioerrors.md).
More [about connecting 4 in 1 ESCs](4in1.md).
4. Connect the flat cable from the radio receiver to the RCIN connector in Pixracer.
4. Connect the ribbon cable from the radio receiver to the RCIN connector in Pixracer.
![Installation of the flight controller](../assets/cl3_mountPixracer.JPG)
## Installation of Raspberry
## Raspberry installation
1. Turn the copter upside down.
1. Turn the drone upside down.
Install Raspberry on the legs using Raspberry mounting holes.
Install the Raspberry on the legs using Raspberry mounting holes.
USB connectors should point to the tail of the copter.
USB connectors should point to the tail of the drone.
2. Installation of the flat cable for the camera:
2. Installation of the ribbon cable for the camera:
* lift the latch;
* connect the flat cable;
* connect the ribbon cable;
* close the latch.
3. Connecting Raspberry power:
3. Connecting Raspberry to power supply:
5V -> pin 04 (DC power 5 V)
GND -> pin 06 (Ground)
@@ -188,24 +188,24 @@ article [remote faults](radioerrors.md).
![Installation of Raspberry Pi Model B](../assets/cl3_mountRaspberryPi.JPG)
## Installation of Arduino and the FlySky radio receiver
## Arduino and FlySky radio receiver installation
1. Mount the pins of the Arduino Nano micro-controller using soldering.
1. Solder Arduino Nano micro-controller pins to its board.
2. Install the micro-controller into a special mount, and attach to the lower deck using М3х16 screws (4 pcs).
3. Using double-sided tape, attach the receiver as shown in the picture.
4. Connect the flat cable from the radio receiver to Pixracer as shown in the picture.
4. Connect the ribbon cable from the radio receiver to Pixracer as shown in the picture.
white -> PPM
red -> 5V
black -> GND
orange, green -> currently not used. They are set to the unused pins of the radio receiver
orange, green -> currently not used. They are set to the unused pins of the radio receiver.
![Installation of Arduino nano and radio receiver Flysky i6](../assets/cl3_mountArduinoandFlysky.JPG)
![Arduino and FlySky radio receiver installation](../assets/cl3_mountArduinoandFlysky.JPG)
## Installation of the RPi camera
## RPi camera installation
1. Attach the mount for the RPi camera assembly to the lower deck with М3х12 screws (2 pcs.)
2. Connect the flat cable to the RPi camera.
2. Connect the ribbon cable to the RPi camera.
3. Install the camera into the mount, secure it with M2 self-tappers.
4. Attach Raspberry with 30 mm legs (4 pcs.).
@@ -213,7 +213,7 @@ article [remote faults](radioerrors.md).
5. Install the legs into the mounts (4 pcs).
![Mounting the RPi camera](../assets/cl3_mountRpiCamera.JPG)
![Mounting the RPi camera](../assets/en/cl3_mountRpiCamera.JPG)
## Installation of the remaining structural elements
@@ -225,11 +225,11 @@ article [remote faults](radioerrors.md).
![Installation of the remaining structural elements](../assets/cl3_mountOtherElements.JPG)
## Installation of USB connectors
## USB connectors installation
1. Connect Pixracer to Raspberry using the micro USB - USB cable.
2. Connect Arduino to Raspberry using the micro USB - USB cable.
![Installation of USB connectors](../assets/cl3_mountUSBconnectors.JPG).
![USB connectors installation](../assets/cl3_mountUSBconnectors.JPG).
Read more about connection in [article](connection.md).

View File

@@ -13,4 +13,4 @@ The Rate Pitch and Rate Roll parameters should be the same.
YAW parameters should be changed individually, according to the above instruction (usually the yaw doesn't require serious adjustment, you may leave it default).
![ROLL oscillations](../assets/oscillRoll.jpg)
![ROLL oscillations](../assets/en/oscillRoll.jpg)

View File

@@ -3,34 +3,76 @@ Pixhawk / Pixracer firmware flashing
Pixhawk or Pixracer firmware may be flashed using QGroundControl or command line utilities.
Various releases of stable PX4 firmwares are available from [Releases at GitHub] (https://github.com/PX4/Firmware/releases).
Modified firmware for Clever
---
The name of the firmware file contains encoded information about the target circuit-board and the release. Examples:
It is advisable to use a specialized build of PX4 with the necessary fixes and better defaults for the Clever drone. Use the latest stable release in our [GitHub repository](https://github.com/CopterExpress/Firmware/releases) with the word `clever`, for example, `v1.8.2-clever.5`.
* `px4fmu-v2_default.px4` — firmware for Pixhawk with EKF2.
* `px4fmu-v2_lpe.px4` — firmware for Pixhawk with LPE.
* `px4fmu-v4_default.px4` — firmware for Pixhawk with EKF2 and LPE (*Clever 3*).
* `px4fmu-v3_default.px4` — firmware for newer Pixhawk versions (rev. 3 chip, see Fig. + Bootloader v5) with EKF2 and LPE.
<div id="release" style="display:none">
<p>Latest stable release: <strong><a id="download-latest-release"></a></strong>.</p>
![STM revision](../assets/stmrev.jpg)
<ul>
<li>Firmware for Pixracer (<strong>Clever 4 / Clever 3</strong>) <a id="firmware-pixracer" href=""><code>px4fmu-v4_default.px4</code></a>.</li>
<li>Firmware for Pixhawk (<strong>Clever 2</strong>) <a id="firmware-pixhawk" href=""><code>px4fmu-v2_lpe.px4</code></a>.</li>
</ul>
</div>
> **Note** To download the `px4fmu-v3_default.px4` file, you may need to use the `force_upload` command in the command prompt.
<script type="text/javascript">
// get latest release from GitHub
fetch('https://api.github.com/repos/CopterExpress/Firmware/releases').then(function(res) {
return res.json();
}).then(function(data) {
// look for stable release
let stable;
for (let release of data) {
let clever = release.name.indexOf('clever') != -1;
if (clever && !release.prerelease && !release.draft) {
stable = release;
break;
}
}
let el = document.querySelector('#download-latest-release');
el.innerHTML = stable.name;
el.href = stable.html_url;
document.querySelector('#release').style.display = 'block';
for (let asset of stable.assets) {
console.log(asset.name);
if (asset.name == 'px4fmu-v4_default.px4') {
document.querySelector('#firmware-pixracer').href = asset.browser_download_url;
} else if (asset.name == 'px4fmu-v2_lpe.px4') {
document.querySelector('#firmware-pixhawk').href = asset.browser_download_url;
}
}
});
</script>
QGroundControl
---
In QGroundControl, go to Firmware. **After** that, connect Pixhawk / Pixracer via USB.
Open the Firmware section in QGroundControl. Then, connect your Pixhawk or Pixracer via USB.
Select PX4 Flight Stack. To download and upload the standard firmware (the version with EKF2 for Pixhawk), select the "Standard Version" menu item, to load your own firmware file, select "Custom firmware file...", then click OK.
Choose PX4 Flight Stack. If you wish to install the official firmware (with EKF2 for Pixhawk), choose "Standard version". In order to flash custom firmware, choose "Custom firmware file..." and click OK.
> **Warning** Do not disconnect the USB cable until the flashing process is complete.
> **Warning** Do not unplug your flight controller from USB during flashing!
TODO: Figure.
Firmware variants
---
The name of the firmware file contains information about the target flight controller and build variant. For example:
* `px4fmu-v4_default.px4` — firmware for Pixhawk with EKF2 and LPE (**Clever 3** / **Clever 4**).
* `px4fmu-v2_lpe.px4` — firmware for Pixhawk with LPE (**Clever 2**).
* `px4fmu-v2_default.px4` — firmware for Pixhawk with EKF2.
* `px4fmu-v3_default.px4` — firmware for newer Pixhawk versions (rev. 3 chip, see Fig. + Bootloader v5) with EKF2 and LPE.
![STM revision](../assets/stmrev.jpg)
> **Note** In order to flash the `px4fmu-v3_default.px4` file, you may need to use the `force_upload` command in the command prompt.
Command prompt
---
PX4 may be compiled from the source and automatically loaded to the circuit-board from the command prompt.
PX4 may be compiled from the source and automatically flashed to the flight controller from the command prompt.
To do this, clone the PX4 repository:
@@ -44,9 +86,9 @@ Select the appropriate version (tag) using `git checkout`. Then compile and uplo
make px4fmu-v4_default upload
```
Where `px4fmu-v4_default` is the required firmware version.
Where `px4fmu-v4_default` is the required firmware variant.
To upload the `v3` firmware to Pixhawk, you may need the `force_upload` command:
In order to upload the `v3` firmware to Pixhawk, you may need to use the `force_upload` option:
```
make px4fmu-v3_default force-upload

View File

@@ -11,7 +11,7 @@
\* The distance between the power distribution board and the estimated location of the camera should be determined in advance!
![FPV1](../assets/fpv_1.png)
![FPV1](../assets/en/fpv_1.png)
## Preparation of the transmitter
@@ -26,20 +26,20 @@ The same procedure applies here:
\* The distance between the power distribution board and the estimated location of the transmitter should be determined in advance!
![FPV2](../assets/fpv_2.png)
![FPV2](../assets/en/fpv_2.png)
## Connection of FPV
Prepared connectors are to be inserted into appropriate sockets, and power wires are to be soldered to the power distribution board according to the circuit diagram:
![FPV3](../assets/fpv_3.png)
![FPV3](../assets/en/fpv_3.png)
> **Warning** In this circuit diagram, the camera is powered from 12 V (however, it is possible to use 5 V).
> The transmitter is powered from the ESC power (however, it is possible to use 12 V).
## Installing FPV components
![FPV4](../assets/fpv_4.png)
![FPV4](../assets/en/fpv_4.png)
The following may be used as fastening materials:

View File

@@ -1,6 +1,6 @@
# Working with a laser rangefinder
## Rangefinder VL53L1X
## VL53L1X Rangefinder
The rangefinder model recommended for Clever is STM VL53L1X. This rangefinder can measure distances from 0 to 4 m while ensuring high measurement accuracy.
@@ -8,7 +8,7 @@ The [image for Raspberry Pi](microsd_images.md) contains pre-installed correspon
### Connecting to Raspberry Pi
> **Note** For correct operation of a laser rangefinder with a flight countroller <a id="download-firmware" href="https://github.com/CopterExpress/Firmware/releases">custom PX4 firmware</a> is needed. See more about firmware in [corresponding article](firmware.md).
> **Note** You need to flash a <a id="download-firmware" href="https://github.com/CopterExpress/Firmware/releases">custom PX4 firmware</a> on your flight controller for the rangefinder to work correctly. See more about firmware in the [corresponding article](firmware.md).
<script type="text/javascript">
fetch('https://api.github.com/repos/CopterExpress/Firmware/releases').then(res => res.json()).then(function(data) {
@@ -21,44 +21,44 @@ The [image for Raspberry Pi](microsd_images.md) contains pre-installed correspon
});
</script>
Connect the rangefinder to pins 3V, GND, SCL and SDA via the I²C interface:
Connect the rangefinder to the 3V, GND, SCL and SDA pins via the I²C interface:
<img src="../assets/raspberry-vl53l1x.png" alt="Connecting VL53L1X" height=600>
If the pin marked GND is occupied, you can use another free one using the [pinout](https://pinout.xyz).
If the pin marked GND is occupied, you can use any other ground pin (look at the [pinout](https://pinout.xyz) for reference).
> **Hint** Via the I²C interface, you can connect several peripheral devices simultaneously. For this purpose, use a parallel connection.
> **Hint** You can connect several peripheral devices via the I²C interface simultaneously. Use a parallel connection for that.
### Enabling
### Enabling the rangefinder
[Connect via SSH](ssh.md) and edit file `~/catkin_ws/src/clever/clever/launch/clever.launch` so that driver VL53L1X is enabled:
[Connect via SSH](ssh.md) and edit file `~/catkin_ws/src/clever/clever/launch/clever.launch` so that the VL53L1X driver is enabled:
```xml
<arg name="rangefinder_vl53l1x" default="true"/>
```
By default, the rangefinder driver sends the data to Pixhawk (via topic `/mavros/distance_sensor/rangefinder_sub`). To view data from the topic, use command:
By default, the rangefinder driver sends the data to Pixhawk via the `/mavros/distance_sensor/rangefinder_sub` topic. To view data from the topic, use the following command:
```(bash)
```bash
rostopic echo mavros/distance_sensor/rangefinder_sub
```
### PX4 settings
To use the rangefinder data in [PX4 must be configured](px4_parameters.md).
PX4 should be properly [configured](px4_parameters.md) to use the rangefinder data.
When using EKF2 (`SYS_MC_EST_GROUP` = `ekf2`):
Set the following parameters when EKF2 is used (`SYS_MC_EST_GROUP` = `ekf2`):
* `EKF2_HGT_MODE` = `2` (Range sensor) when flying over horizontal floor;
* `EKF2_HGT_MODE` = `2` (Range sensor) for flights over horizontal floor;
* `EKF2_RNG_AID` = `1` (Range aid enabled) in other cases.
When using LPE (`SYS_MC_EST_GROUP` = `local_position_estimator, attitude_estimator_q`):
Set the following parameters when LPE is used (`SYS_MC_EST_GROUP` = `local_position_estimator, attitude_estimator_q`):
* The "pub agl as lpos down" flag is ticked in the `LPE_FUSION` parameter when flying over horizontal floor.
* The "pub agl as lpos down" flag should be set in the `LPE_FUSION` parameter for flights over horizontal floor.
### Obtaining data from Python
### Receiving data in Python
To obtain data from the topic, create a subscriber:
In order to receive data from the topic, create a subscriber:
```python
from sensor_msgs.msg import Range
@@ -66,7 +66,7 @@ from sensor_msgs.msg import Range
# ...
def range_callback(msg):
# Processing new data from the rangefinder
# Process data from the rangefinder
print 'Rangefinder distance:', msg.range
rospy.Subscriber('mavros/distance_sensor/rangefinder_sub', Range, range_callback)
@@ -74,13 +74,13 @@ rospy.Subscriber('mavros/distance_sensor/rangefinder_sub', Range, range_callback
### Data visualization
To build a chart using the data from the rangefinder, one can use rqt_multiplot.
You may use rqt_multiplot tool to plot rangefinder data.
rviz may be used for data visualization. To do this, add a topic of the `sensor_msgs/Range` type to visualization:
<img src="../assets/rviz-range.png" alt="Range in rviz">
See [read more about rviz and rqt](rviz.md).
Read more [about rviz and rqt](rviz.md).
<!--
### Connecting to Pixhawk / Pixracer

View File

@@ -69,7 +69,7 @@ Control
The copter is controlled from a transmitter that sends commands to the radio receiver. The transmitter is powered by batteries, and the radio receiver is powered from the flight controller. The communication is often one-way, from the transmitter to the receiver. The receiver is connected to the flight controller with at least five wires which are used for transmitting the turn signals around 3 axes, the throttle command, and the flight mode command.
![Control](../assets/1_5.png)
![Control](../assets/en/1_5.png)
**Throttle** — translated as "throttle", "thrust", or "gas" in everyday life. A multicopter throttle is the mean arithmetical between the rotation speeds of all motors is it more the throttle, the higher the total thrust of the engines, and the stronger they pull the copter upwards (in other words, "Step on it" means the fastest ascent possible). It is usually measured as percentage: 0 % — the motors are stopped, 100 % — the motors are rotating at maximum speed. Hovering throttle is the minimum throttle required for the copter to stay at certain altitude.
@@ -77,15 +77,15 @@ The axes of the copter (pitch, roll, and yaw) are the angles used to determine a
**Yaw** The multicopter nose turn. conditionally — turning right or left
![Yaw](../assets/1_6.png)
![Yaw](../assets/en/1_6.png)
**Pitch**. In copters, manipulation with this moment of force allows the copter to move forward or backward due to tilting the nose in the appropriate direction
![Pitch](../assets/1_7.png)
![Pitch](../assets/en/1_7.png)
**Roll** Multicopter tilting to the left or to the right. Due to the roll, the copter can move sideways in the appropriate direction.
![Roll](../assets/1_8.png)
![Roll](../assets/en/1_8.png)
If you can control throttle, pitch, roll and yaw, you can control the quadcopter. They are also sometimes called control channels. There are many flight modes. GPS, barometer, and distance gage are also used, as well as stabilization mode (stab, stabilize, flying and stab), in which the copter keeps the angles set from the transmitter regardless of external factors. Without wind, the copter can hang almost in place in this mode. And the wind will have to be compensated for by the pilot.
The propellers rotation directions are not chosen randomly. If all motors rotated in the same direction, the quadcopter would rotate in the opposite direction due to the generated moments. Therefore, two opposite motors always rotate in the same direction, and other two motors rotate the opposite direction. The effect of rotation moments is used to change the yaw: one pair of motors starts rotating a bit faster than the other, and the quadcopter slowly turns towards us:
@@ -105,7 +105,7 @@ Elements of the copter
Usually, when it comes to controlling a model of boat or an aircraft, the operator has absolute, precise control over the engine. Pressing the joystick on the transmitter results in proportional increasing the speed of the screws (rpm). A distinctive feature of multi-propeller aircraft (regardless of whether it is an advantage or a disadvantage) is in the fact that no one can simultaneously control the rotation speed of 3 and more motors precisely enough to keep the aircraft in the air. That is where the flight controllers come into play.
![Flightctr](../assets/1_10.png)
![Flightctr](../assets/en/1_10.png)
**Flight controller** is the most important part. Ninety percent of flight stability and controllability depends on the characteristics of the flight controller.
A flight controller is intended for translating commands from the transmitter into the signals that set the rotation speed of the motor. It also has inertial measuring sensors that allow keeping an eye on the current position of the platform and performing automatic adjustment
@@ -114,11 +114,11 @@ A flight controller is intended for translating commands from the transmitter in
**ESC** are regulators for adjusting the motors rotation. The fact is that multi copters use special brushless motors that can rotate at very high speeds. To control such motors, it is sometimes necessary to form three phase voltage and relatively high currents, which is performed by ESCs. Each motor requires its own ESC. All ESCs are connected to the flight controller. The ESCs are powered directly from the battery. Each motor is connected to its own ESC with three wires. The order of connecting the wires determines the direction of motor rotation.
![Esc](../assets/1_12.png)
![Esc](../assets/en/1_12.png)
**Motor**. Copters use brushless motors. They feature outstanding characteristics and survivability due to the absence of friction units (brushes) for transmitting the current. Unlike a conventional motor, which has a moving part — the rotor, and a stationary part — the stator, in a brushless motor, the moving part is the stator with permanent magnets, and the stationary part is the rotor with windings of three phases. In order to rotate such a system, the direction of the magnetic field in the windings of the rotor is changed in specific order, whereby permanent magnets in the rotor interact with magnetic fields of the stator and start rotating. This rotation is caused by the ability of magnets with the same poles to repel from each other, and magnets with opposite poles to attract to each other.
![Engine](../assets/1_13.png)
![Engine](../assets/en/1_13.png)
**Radio control equipment**. It includes a transmitter with a control unit, and a receiver. They may have various numbers of channels and frequencies. Most transmitters operate at the frequency of 2.40 GHz, there are also several other frequency bands available in the market.

View File

@@ -1,46 +1,46 @@
# MAVROS
Main documentation: [http://wiki.ros.org/mavros](http://wiki.ros.org/mavros)
Main article is available in the official documentations: [http://wiki.ros.org/mavros](http://wiki.ros.org/mavros)
MAVROS \(MAVLink + ROS\) is a package for ROS that provides the possibility of controlling drones via the [MAVLink](mavlink.md) protocol. MAVROS supports flight stacks PX4 and APM. Communication is established via UART, USB, TCP or UDP.
MAVROS \(MAVLink + ROS\) is a ROS package that allows controlling drones via the [MAVLink](mavlink.md) protocol. MAVROS supports PX4 and APM flight stacks. Communication may be established via UART, USB, TCP or UDP.
MAVROS subscribes to certain ROS topics while waiting for commands, publishes telemetry to other topics, and provides services.
MAVROS subscribes to certain ROS topics that can be used to send commands, publishes telemetry to other topics, and provides services.
The MAVROS node is automatically started in the launch-file of Clever. For [setting the type of connection] (connection.md), see the `fcu_conn` argument.
The MAVROS node is automatically started in the Clever launch-file. In order to [set the type of connection](connection.md), change the `fcu_conn` argument.
> **Hint** Simplified interaction with the copter may be with the use of the [`simple_offboard`] package (simple_offboard.md).
> **Hint** Simplified interaction with the drone is possible with the use of [`simple_offboard`] package (simple_offboard.md).
<!-- -->
> **Note** In the `clever` package, some MAVROS plugins are disabled (to save resources). For more information, see the `plugin_blacklist` parameter in file `/home/pi/catkin_ws/src/clever/clever/launch/mavros.launch`.
> **Note** Some MAVROS plugins are disabled by default in the `clever` package in order to save resources. For more information, see the `plugin_blacklist` parameter in `/home/pi/catkin_ws/src/clever/clever/launch/mavros.launch`.
## Main services
`/mavros/set_mode` — set [flight mode](modes.md) of the controller. Usually, the OFFBOARD mode is set \(for control from Raspberry Pi\).
`/mavros/set_mode` — set [flight mode](modes.md) of the controller. Most often used to set the OFFBOARD mode to accept commands from Raspberry Pi.
`/mavros/cmd/arming`enable or disable drone motors \\ (change the armed status \\).
`/mavros/cmd/arming`arm or disarm drone motors \(change arming status\).
## Main published topics
`/mavros/state` — status of connection to the flight controller. The flight controller mode.
`/mavros/state` — status of connection to the flight controller and flight controller mode.
`/mavros/local_position/pose` — local position of the copter in the ENU system of coordinates, and its orientation.
`/mavros/local_position/pose` — local position and orientation of the copter in the ENU coordinate system.
`/mavros/local_position/velocity` — current speed in the local coordinates. Angular velocities.
`/mavros/local_position/velocity` — current speed in local coordinates and angular velocities.
`/mavros/global_position/global` the current global position \(latitude, longitude, altitude\).
`/mavros/global_position/global` — current global position \(latitude, longitude, altitude\).
`/mavros/global_position/local` — the global position in the [UTM] system of coordinates (https://ru.wikipedia.org/wiki/Системаоординат_UTM).
`/mavros/global_position/local` — the global position in the [UTM](https://en.wikipedia.org/wiki/Universal_Transverse_Mercator_coordinate_system) coordinate system.
`/mavros/global_position/rel_alt` — relative altitude \(relative to the engines ON altitude\).
`/mavros/global_position/rel_alt` — relative altitude \(relative to the arming altitude\).
Messages published in the topics may be viewed by using the `rostopic` utility, e.g., `rostopic echo /mavros/state`. See more in [working with ROS](ros.md).
Messages published in the topics may be viewed with the `rostopic` utility, e.g., `rostopic echo /mavros/state`. See more in [working with ROS](ros.md).
## Main topics for publication
`/mavros/setpoint_position/local` — set the target position and the yaw of the drone \(in the ENU system of coordinates\).
`/mavros/setpoint_position/local` — set target position and yaw of the drone \(in the ENU coordinate system\).
`/mavros/setpoint_position/cmd_vel` — set the target linear velocity of the drone.
`/mavros/setpoint_position/cmd_vel` — set target linear velocity of the drone.
`/mavros/setpoint_attitude/attitude` and `/mavros/setpoint_attitude/att_throttle` — set target attitude and throttle level.
@@ -48,8 +48,8 @@ Messages published in the topics may be viewed by using the `rostopic` utility,
### Topics for sending raw packets
`/mavros/setpoint_raw/local` — sending packet [SET\_POSITION\_TARGET\_LOCAL\_NED](https://pixhawk.ethz.ch/mavlink/#SET_POSITION_TARGET_LOCAL_NED). Allows setting target position/target speed and target yaw/angular yaw velocity. The values to be set are selected using the `type_mask` field.
`/mavros/setpoint_raw/local` — sends [SET\_POSITION\_TARGET\_LOCAL\_NED](https://mavlink.io/en/messages/common.html#SET_POSITION_TARGET_LOCAL_NED) message. Allows setting target position/target speed and target yaw/angular yaw velocity. The values to be set are selected using the `type_mask` field.
`/mavros/setpoint_raw/attitude` — sending packet [SET\_ATTITUDE\_TARGET](https://pixhawk.ethz.ch/mavlink/#SET_ATTITUDE_TARGET). Allows setting the target attitude /angular velocity and throttle level. The values to be set are selected using the `type_mask` field
`/mavros/setpoint_raw/attitude` — sends [SET\_ATTITUDE\_TARGET](https://mavlink.io/en/messages/common.html#SET_ATTITUDE_TARGET) message. Allows setting the target attitude /angular velocity and throttle level. The values to be set are selected using the `type_mask` field
`/mavros/setpoint_raw/global` — sending packet [SET\_POSITION\_TARGET\_GLOBAL\_INT](https://pixhawk.ethz.ch/mavlink/#SET_POSITION_TARGET_GLOBAL_INT). Allows setting the target attitude in global coordinates \(latitude, longitude, altitude\) and flight speed. **Not supported in PX4** \([issue](https://github.com/PX4/Firmware/issues/7552)\).
`/mavros/setpoint_raw/global` — sends [SET\_POSITION\_TARGET\_GLOBAL\_INT](https://mavlink.io/en/messages/common.html#SET_POSITION_TARGET_GLOBAL_INT). Allows setting the target attitude in global coordinates \(latitude, longitude, altitude\) and flight speed. **May not be supported in earlier releases of PX4** \([issue](https://github.com/PX4/Firmware/issues/7552)\).

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# Use of Optical Flow
Running the technology "Optical Flow" offers the possibility of POSCTL flight mode, and autonomous flight operating on a camera pointed downwards that detects changes of ground texture.
## Enabling
> **Hint** It is recommanded to use [special PX4 firmware for Clever](firmware.md#прошивка-для-клевера).
The use of a rangefinder is essential. [Connect and setup laser-ranging sensor VL53L1X](laser.md), according to the manual.
Enable Optical Flow in the file `~/catkin_ws/src/clever/clever/launch/clever.launch`:
```xml
<arg name="optical_flow" default="true"/>
```
Optical Flow publishes data in `mavros/px4flow/raw/send` topic. In the topic `optical_flow/debug` is also published a vizualization, that can be viewed with [web_video_server](web_video_server.md).
> **Info** Correct connexion and [setup](camera.md) of the camera module is needed for proper functioning.
## Setup of the flight controler
When using **EKF2** (parameter `SYS_MC_EST_GROUP` = `ekf2`):
* `EKF2_AID_MASK` flag 'use optical flow' is on.
* `EKF2_OF_DELAY`  0.
* `EKF2_OF_QMIN` 10.
* `EKF2_OF_N_MIN`  0.05.
* `EKF2_OF_N_MAX` - 0.2.
* `SENS_FLOW_ROT` No rotation.
* `SENS_FLOW_MAXHGT` 4.0 (for the rangefinder VL53L1X)
* `SENS_FLOW_MINHGT` 0.01 (for the rangefinder VL53L1X)
* Optional: `EKF2_HGT_MODE` range sensor (cf. [rangefinder setup](laser.md)).
When using **LPE** (parameter `SYS_MC_EST_GROUP` = `local_position_estimator, attitude_estimator_q`):
* `LPE_FUSION` flags 'fuse optical flow' and 'flow gyro compensation' are on.
* `LPE_FLW_QMIN` 10.
* `LPE_FLW_SCALE` 1.0.
* `LPE_FLW_R` 0.1.
* `LPE_FLW_RR` 0.0.
* `SENS_FLOW_ROT` No rotation.
* `SENS_FLOW_MAXHGT` 4.0 (for the rangefinder VL53L1X)
* `SENS_FLOW_MINHGT` 0.01 (for the rangefinder VL53L1X)
* Optional: `LPE_FUSION`  falg 'pub agl as lpos down' is on (сf. [rangefinder setup](laser.md).
[The `selfcheck.py` utility](selfcheck.md) will help you verify that all settings are corectly set.
## POSCTL flight
Setup POSCTL to be one of PX4 flight modes and then select POSCTL.
## Autonomous flight
The module [simple_offboard](simple_offboard.mb) enables autonomous flight.
Example of take off and leveling at 1.5m above the ground:
```python
navigate(z=1.5, frame_id='body', auto_arm=True)
```
Flying forward for 1m:
```python
navigate(x=1.5, frame_id='body')
```
[Navigation using ArUco-markers](aruco_marker) and [using VPE] are available when using Optical Flow.
## Additional settings
<!-- TODO: статья по пидам -->
If the copter has an unstable position using VPE, try to increase the *P* coefficient of speed PID controler - parameters are `MPC_XY_VEL_P` and `MPC_Z_VEL_P`.
If the copter has an unstable height, try increasing `MPC_Z_VEL_P` coefficient or getting better hover throttle - `MPC_THR_HOVER`.
If the copter is consistently yawing, try:
* recalibrate gyroscopes;
* recalibrate magnetometer;
* different values for `EKF2_MAG_TYPE` parameter, that indicates how data from the magnetometer is used in EKF2;
* changing values of `EKF2_MAG_NOISE`, `EKF2_GYR_NOISE`, `EKF2_GYR_B_NOISE` parameters.
If the copter's height is deviating, try:
* increasing the value of `MPC_Z_VEL_P` coefficient;
* change the value of `MPC_THR_HOVER` parameter;
* add `MPC_ALT_MODE` = 2 (Terrain following).
When using Optical Flow, the maximal horizontal speed is further limited. This is an indirect influence of the parameter `SENS_FLOW_MAXR` (maximal reliable "angular speed" of the optical flow). In normal flight mode, control loops will be adjusted so that Optical Flow values do not exceed 50% of this parameter.
## Errors
If errors of `EKF INTERNAL CHECKS` occur, try to restart EKF2. To do so, enter in the MAVLink-console : в MAVLink-консоли:
```nsh
ekf2 stop
ekf2 start
```

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# ROS Kinetic package installation and setup
In order to use tools such as rqt, rviz and others as well as running the simulator (SITL), you will need to install and setup ROS package
> **Hint** For more details on installation refer to [the main article](http://wiki.ros.org/kinetic/Installation/Ubuntu).
<!-- -->
> **Hint** If you are using Ubuntu 18.04, you will need to install ROS Melodic instead of ROS Kinetic. A complete guide of the installation is available [here](http://wiki.ros.org/melodic/Installation/Ubuntu).
## ROS Kinetic installation on Ubuntu
To find the correct package version, you will need to change the settings of your repositories. Go to "Software and updates" and enable `restricted`, `universe` and `multiverse`.
Set up your system so that software form `packages.ros.org` can be installed :
```bash
sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
```
Configure access keys in your system for correct download:
```bash
sudo apt-key adv --keyserver hkp://ha.pool.sks-keyservers.net:80 --recv-key 421C365BD9FF1F717815A3895523BAEEB01FA116
```
Make sure that your packages are up to date:
```bash
sudo apt-get update
```
Now you can install the ROS package itself.
+ If you plan to use ROS together with the simulator (also includes tools such as rqt, rviz and others):
```bash
sudo apt-get install ros-kinetic-desktop-full
```
+ If you plan to use ROS exclusively for tools rqt, rviz etc.:
```bash
sudo apt-get install ros-kinetic-desktop
```
After the package has installed, initialize `rosdep`.
Package `rosdep` will allow to easily install dependecies for the source files that you whish to compile. Running some essential components of ROS will as well require this package.
```bash
sudo rosdep init
rosdep update
```
If you are not confortable with entering environment variables manually each time, you may configure it in a way that it add itself in your bash session on every new shell startup:
```bash
echo "source /opt/ros/kinetic/setup.bash" >> ~/.bashrc
source ~/.bashrc
```
If you whish to install any additionnal packages for yout ROS Kinetic simply use:
```bash
sudo apt-get install ros-kinetic-PACKAGE
```

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@@ -14,6 +14,8 @@ ROS is already installed on [the RPi image](microsd_images.md).
To use ROS on a PC, we recommend using Ubuntu Linux (or a virtual machine such as Parallels Desktop Lite](https://itunes.apple.com/ru/app/parallels-desktop-lite/id1085114709?mt=12) or [VirtualBox](https://www.virtualbox.org)).
> **Note** For ROS Kinetic distribution, we recommend using Ubuntu 16.04.
Concepts
---
@@ -23,9 +25,9 @@ Main article: http://wiki.ros.org/Nodes
ROS node is a special program (usually written in Python or C++) that communicates with other nodes via ROS topics and ROS services. Dividing complex robotic systems into isolated nodes provides certain advantages: reduced coupling of the code, increases re-usability and reliability.
Many robotic libraries, and the driver are executed in the form of ROS-nodes.
Many robotic libraries and the drivers are executed in the form of ROS-nodes.
In order to turn an ordinary program into a ROS node, connect to it a `rospy` or `roscpp` library, and add the initialization code.
In order to turn an ordinary program into a ROS node, include a `rospy` or `roscpp` library, and insert the initialization code.
An example of a ROS node in Python:
@@ -43,7 +45,7 @@ Main article: http://wiki.ros.org/Topics
A topic is a named data bus used by the nodes for exchanging messages. Any node can *post* a message in a random topic, and *subscribe* to an arbitrary topic.
An example of posting a message of type [`std_msgs/String`](http://docs.ros.org/api/std_msgs/html/msg/String.html) (line) in topic `/foo` in Python:
An example of [`std_msgs/String`](http://docs.ros.org/api/std_msgs/html/msg/String.html) (line) message type posting in topic `/foo` in Python:
```python
from std_msgs.msg import String
@@ -77,9 +79,9 @@ rostopic echo /mavros/state
Main article: http://wiki.ros.org/Services
A service is an analogue to the function that can be called from one node, and processed in another one. The service has a name that is similar to the name of the topic, and 2 message types: request type and response type.
A service can be assimilated to the a function that can be called from one node, and processed in another one. The service has a name that is similar to the name of the topic, and 2 message types: request type and response type.
An example of invoking a ROS service from Python:
An example ROS service invoking from Python:
```python
from clever.srv import GetTelemetry

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@@ -1,12 +1,12 @@
# Automatic check
Before flying (especially autonomous), you can use several methods of automatic self-testing of the quadcopter subsystems.
It is generally a good idea to perform some checks before flight, especially before an autonomous one. There are several methods of automated self-checks of the drone subsystems.
## <span>selfcheck</span>.py
Utility `selfcheck.py` is part of `clever` package, and automatically tests the main aspects of the ROS platform and the PX4. The utility is pre-installed on [the Raspberry Pi image](microsd_images.md).
The `selfcheck.py` utility script is part of the `clever` package; it performs automated tests of the main aspects of the ROS platform and PX4. The utility is pre-installed on [the Raspberry Pi image](microsd_images.md).
To initiate it, type in [the Raspberry Pi console](ssh.md):
In order to run it, enter the following command in [the Raspberry Pi console](ssh.md):
```(bash)
rosrun clever selfcheck.py
@@ -16,17 +16,20 @@ rosrun clever selfcheck.py
Description of some checks:
* FCU checking proper connection with the flight controller;
* IMU checking correctness of the data from IMU;
* Local position presence of the local position of the drone;
* Velocity estimation drone velocity estimation (**if this check fails, never take off offline!**);
* Global position (GPS) — presence of the global position (GPS required);
* Camera — proper operation of the Raspberry camera.
* FCU checks for proper connection with the flight controller;
* IMU checks whether the data from from IMU is sane;
* Local position checks presence of local position data;
* Velocity estimation checks whether drone velocity estimation is sane(**autonomous flight is not to be performed if this check fails!**);
* Global position (GPS) — checks for presence of global position data (GPS module is required for this check);
* Camera — checks for proper operation of the Raspberry camera.
* ArUco — checks whether [ArUco](aruco.md) detection is working
* VPE — checks whether VPE data is published
* Rangefinder — checks whether [rangefinder](laser.md) data is published
## commander check
To check the main sub systems of PX4 and the possibility of arming at the moment, you can perform command `commander check` in the MAVLink console.
In order check the main subsystems of PX4 and the possibility of arming at the moment you can run the `commander check` command in the MAVLink console.
<img src="../assets/commander-check.png">
When using SITL instead of the MAVLink console, use a terminal with SITL running.
If you're running SITL, you should use the terminal where PX4 simulation is running instead of the MAVLink console.

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@@ -2,7 +2,7 @@
## Composition of the FLYSKY i6 transmitter
![Composition of the transmitter](../assets/consistofTransmitter.jpg)
![Composition of the transmitter](../assets/en/consistofTransmitter.jpg)
## Installation of QGroundControl

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