Add experimental optical flow node

This commit is contained in:
Oleg Kalachev
2018-09-11 19:30:11 +03:00
parent e585341933
commit 1909feceba
6 changed files with 224 additions and 4 deletions

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@@ -21,6 +21,9 @@ find_package(catkin REQUIRED COMPONENTS
tf
tf2
tf2_geometry_msgs
tf2_ros
image_transport
cv_bridge
)
@@ -121,7 +124,7 @@ generate_messages(
## DEPENDS: system dependencies of this project that dependent projects also need
catkin_package(
# INCLUDE_DIRS include
# LIBRARIES clever
LIBRARIES clever
# CATKIN_DEPENDS other_catkin_pkg
# DEPENDS system_lib
)
@@ -137,7 +140,11 @@ include_directories(
${catkin_INCLUDE_DIRS}
)
## Declare a C++ library
# Declare a C++ library
add_library(clever
src/optical_flow.cpp
)
add_library(fcu_horiz
src/fcu_horiz.cpp
)
@@ -173,6 +180,10 @@ target_link_libraries(camera_markers ${catkin_LIBRARIES})
# add_dependencies(${PROJECT_NAME}_node ${${PROJECT_NAME}_EXPORTED_TARGETS} ${catkin_EXPORTED_TARGETS})
## Specify libraries to link a library or executable target against
target_link_libraries(clever
${catkin_LIBRARIES}
)
target_link_libraries(fcu_horiz
${catkin_LIBRARIES}
"/opt/ros/kinetic/lib/libtf2_ros.so"

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@@ -6,6 +6,7 @@
<arg name="web_video_server" default="true"/>
<arg name="rosbridge" default="true"/>
<arg name="main_camera" default="true"/>
<arg name="optical_flow" default="false"/>
<arg name="aruco" default="false"/>
<arg name="rc" value="true"/>
<arg name="arduino" default="false"/>
@@ -28,6 +29,12 @@
<!-- aruco vpe -->
<include file="$(find clever)/launch/aruco.launch" if="$(arg aruco)"/>
<!-- optical flow -->
<node pkg="nodelet" type="nodelet" name="optical_flow" args="load clever/optical_flow nodelet_manager" if="$(arg optical_flow)" clear_params="true">
<remap from="image" to="main_camera/image_raw"/>
<remap from="camera_info" to="main_camera/camera_info"/>
</node>
<!-- main nodelet manager -->
<node pkg="nodelet" type="nodelet" name="nodelet_manager" args="manager" output="screen" clear_params="true">
<param name="num_worker_threads" value="2"/>

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@@ -38,13 +38,11 @@
- safety_area
- image_pub
- vibration
- distance_sensor
- rangefinder
- 3dr_radio
- actuator_control
- hil_controls
- vfr_hud
- px4flow
- vision_speed_estimate
- fake_gps
- cam_imu_sync

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@@ -7,6 +7,7 @@
<arg name="fcu_conn" value="udp"/>
<arg name="fcu_ip" value="$(arg ip)"/>
<arg name="gcs_bridge" value="false"/>
<arg name="optical_flow" value="false"/>
<arg name="web_server" default="false"/>
<arg name="web_video_server" default="false"/>
<arg name="main_camera" default="false"/>

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@@ -1,3 +1,8 @@
<library path="lib/libclever">
<class name="clever/optical_flow" type="OpticalFlow" base_class_type="nodelet::Nodelet">
<description/>
</class>
</library>
<library path="lib/libfcu_horiz">
<class name="clever/fcu_horiz" type="FcuHoriz" base_class_type="nodelet::Nodelet">
<description/>

198
clever/src/optical_flow.cpp Normal file
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@@ -0,0 +1,198 @@
/*
* Optical Flow node for PX4
* Copyright (C) 2018 Copter Express Technologies
*
* Author: Oleg Kalachev <okalachev@gmail.com>
*
* Licensed under the MIT License. See LICENSE.md in the project root for license information.
*/
#include <vector>
#include <cmath>
#include <nodelet/nodelet.h>
#include <pluginlib/class_list_macros.h>
#include <image_transport/image_transport.h>
#include <cv_bridge/cv_bridge.h>
#include <opencv2/opencv.hpp>
#include <tf/transform_datatypes.h>
#include <tf2/exceptions.h>
#include <tf2/convert.h>
#include <tf2_ros/transform_listener.h>
#include <tf2_geometry_msgs/tf2_geometry_msgs.h>
#include <mavros_msgs/OpticalFlowRad.h>
#include <sensor_msgs/Imu.h>
#include <geometry_msgs/Vector3Stamped.h>
#include <geometry_msgs/PointStamped.h>
#include <geometry_msgs/TwistStamped.h>
using cv::Mat;
class OpticalFlow : public nodelet::Nodelet
{
public:
OpticalFlow():
camera_matrix_(3, 3, CV_64F),
dist_coeffs_(8, 1, CV_64F),
tf_listener_(tf_buffer_)
{}
private:
ros::Publisher flow_pub_, velo_pub_, shift_pub_;
ros::Time prev_stamp_;
std::string fcu_frame_id_;
image_transport::CameraSubscriber img_sub_;
image_transport::Publisher img_pub_;
mavros_msgs::OpticalFlowRad flow_;
int roi_, roi_2_;
Mat hann_;
Mat prev_, curr_;
Mat camera_matrix_, dist_coeffs_;
tf2_ros::Buffer tf_buffer_;
tf2_ros::TransformListener tf_listener_;
void onInit()
{
ros::NodeHandle& nh = getNodeHandle();
ros::NodeHandle& nh_priv = getPrivateNodeHandle();
image_transport::ImageTransport it(nh);
image_transport::ImageTransport it_priv(nh_priv);
nh_priv.param<std::string>("frame_id", fcu_frame_id_, "fcu");
nh_priv.param("roi", roi_, 128);
roi_2_ = roi_ / 2;
img_sub_ = it.subscribeCamera("image", 1, &OpticalFlow::flow, this);
img_pub_ = it_priv.advertise("debug", 1);
flow_pub_ = nh.advertise<mavros_msgs::OpticalFlowRad>("mavros/px4flow/raw/send", 1);
velo_pub_ = nh_priv.advertise<geometry_msgs::TwistStamped>("angular_velocity", 1);
shift_pub_ = nh_priv.advertise<geometry_msgs::Vector3Stamped>("shift", 1);
flow_.integrated_xgyro = NAN; // no IMU available
flow_.integrated_ygyro = NAN;
flow_.integrated_zgyro = NAN;
flow_.time_delta_distance_us = 0;
flow_.distance = -1; // no distance sensor available
flow_.temperature = 0;
ROS_INFO("Optical Flow initialized");
}
void parseCameraInfo(const sensor_msgs::CameraInfoConstPtr &cinfo) {
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
camera_matrix_.at<double>(i, j) = cinfo->K[3 * i + j];
}
}
for (int k = 0; k < cinfo->D.size(); k++) {
dist_coeffs_.at<double>(k) = cinfo->D[k];
}
}
void drawFlow(Mat& frame, double x, double y, double quality) const
{
double brightness = (1 - quality) * 25;;
cv::Scalar color(brightness, brightness, brightness);
double radius = std::sqrt(x * x + y * y);
// draw a circle and line indicating the shift direction...
cv::Point center(frame.cols >> 1, frame.rows >> 1);
cv::circle(frame, center, (int)(radius*5), color, 3, cv::LINE_AA);
cv::line(frame, center, cv::Point(center.x + (int)(x*5), center.y + (int)(y*5)), color, 3, cv::LINE_AA);
}
void flow(const sensor_msgs::ImageConstPtr& msg, const sensor_msgs::CameraInfoConstPtr& cinfo)
{
parseCameraInfo(cinfo);
auto img = cv_bridge::toCvShare(msg, "mono8")->image;
// Apply ROI
if (roi_ != 0) {
img = img(cv::Rect((msg->width / 2 - roi_2_), (msg->height / 2 - roi_2_), roi_, roi_));
}
img.convertTo(curr_, CV_64F);
if (prev_.empty()) {
prev_ = curr_.clone();
prev_stamp_ = msg->header.stamp;
cv::createHanningWindow(hann_, curr_.size(), CV_64F);
} else {
double response;
cv::Point2d shift = cv::phaseCorrelate(prev_, curr_, hann_, &response);
// Publish raw shift in pixels
static geometry_msgs::Vector3Stamped shift_vec;
shift_vec.header.stamp = msg->header.stamp;
shift_vec.header.frame_id = msg->header.frame_id;
shift_vec.vector.x = shift.x;
shift_vec.vector.y = shift.y;
shift_pub_.publish(shift_vec);
// Undistort flow in pixels
uint32_t flow_center_x = msg->width / 2;
uint32_t flow_center_y = msg->height / 2;
shift.x += flow_center_x;
shift.y += flow_center_y;
std::vector<cv::Point2d> points_dist = { shift };
std::vector<cv::Point2d> points_undist(1);
cv::undistortPoints(points_dist, points_undist, camera_matrix_, dist_coeffs_, cv::noArray(), camera_matrix_);
points_undist[0].x -= flow_center_x;
points_undist[0].y -= flow_center_y;
// Calculate flow in radians
double focal_length_x = camera_matrix_.at<double>(0, 0);
double focal_length_y = camera_matrix_.at<double>(1, 1);
double flow_x = atan2(points_undist[0].x, focal_length_x);
double flow_y = atan2(points_undist[0].y, focal_length_y);
// // Convert to FCU frame
static geometry_msgs::Vector3Stamped flow_camera, flow_fcu;
flow_camera.header.frame_id = msg->header.frame_id;
flow_camera.header.stamp = msg->header.stamp;
flow_camera.vector.x = flow_y; // +y means counter-clockwise rotation around Y axis
flow_camera.vector.y = -flow_x; // +x means clockwise rotation around X axis
tf_buffer_.transform(flow_camera, flow_fcu, fcu_frame_id_);
// Calculate integration time
ros::Duration integration_time = msg->header.stamp - prev_stamp_;
uint32_t integration_time_us = integration_time.toSec() * 1.0e6;
// Publish flow in fcu frame
flow_.header.stamp = /*prev_stamp_*/ msg->header.stamp;
flow_.integration_time_us = integration_time_us;
flow_.integrated_x = flow_fcu.vector.x;
flow_.integrated_y = flow_fcu.vector.y;
flow_.quality = (uint8_t)(response * 255);
flow_pub_.publish(flow_);
// Publish debug image
if (img_pub_.getNumSubscribers() > 0) {
// publish debug image
drawFlow(img, shift_vec.vector.x, shift_vec.vector.y, response);
cv_bridge::CvImage out_msg;
out_msg.header.frame_id = msg->header.frame_id;
out_msg.header.stamp = msg->header.stamp;
out_msg.encoding = sensor_msgs::image_encodings::MONO8;
out_msg.image = img;
img_pub_.publish(out_msg.toImageMsg());
}
// Publish estimated angular velocity
static geometry_msgs::TwistStamped velo;
velo.header.stamp = msg->header.stamp;
velo.header.frame_id = fcu_frame_id_;
velo.twist.angular.x = flow_.integrated_x / integration_time.toSec();
velo.twist.angular.y = flow_.integrated_y / integration_time.toSec();
velo_pub_.publish(velo);
prev_ = curr_.clone();
prev_stamp_ = msg->header.stamp;
}
}
};
PLUGINLIB_EXPORT_CLASS(OpticalFlow, nodelet::Nodelet)