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* builder: Build against Buster * builder: Use correct repository specifications * builder: Move ld.so.preload to have less errors * builder: Use coex repo to install Monkey * builder: Search for buster ROS packages * aruco_pose: Vendor in aruco library from OpenCV 3.4.6 * builder: Move to ROS Melodic * builder: Update kernel version * aruco_pose, clever: Remove opencv3 ROS dependency * builder: Update rosdep * travis: Disable eclint for vendored aruco library * tests: Don't try to locate opencv in ros * roscore: Use melodic distribution * Revert "aruco_pose: Vendor in aruco library from OpenCV 3.4.6" This reverts commit 9c14a8c002bb3396f9a7d9b2ba39969207f066ba. * aruco_pose: Vendor opencv_contrib/aruco again * builder: Add led packages * builder: Remove unused builder code * travis: Add native tests * builder: Set permissions for standalone-install * builder: Use -y for package installation * builder: Add repo for standalone build * builder: Use correct file types for standalone install * aruco_pose: Accept rgb8 map images * builder: Disable mjpg_streamer test * aruco_pose: Allow rgb8 map images (again) * builder: Re-add mjpgstreamer * builder: Install tornado==4.2.1 for rosbridge_suite * builder: Use more recent base image * builder: Use default kernel * builder: Move ld.so.preload back after tests * builder: Disable catkin tests These tests fail on a remote machine but seem to pass just fine on real hardware. Something must have changed between Kinetic and Melodic, and we must investigate more, but for now we just need a working image. * aruco_pose: Remove unused vendored code * selfcheck: Update systemd-analyze regex * builder: Add opencv repository * rosdep: Update package definitions for Melodic * rosdep: Use proper yaml formatting * travis: Remove unnecessary space * docs: Reference Melodic wherever possible
76 lines
2.9 KiB
Markdown
76 lines
2.9 KiB
Markdown
Using rviz and rqt
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===
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The [rviz] tool(http://wiki.ros.org/rviz) allows real-time visualization of all components of the robotic system —the system of coordinates, moving parts, sensors, camera images — on the 3D stage.
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[rqt](http://wiki.ros.org/rqt) is a set of GUI for analyzing and controlling ROS systems. For example, `rqt_image_view` allows viewing topics with images, `rqt_multiplot` allows plot charts by the values in topics, etc.
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To use rviz and rqt, a PC running 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)) is required.
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Install package `ros-melodic-desktop-full` or `ros-melodic-desktop` using the [installation documentation](http://wiki.ros.org/melodic/Installation/Ubuntu).
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Start rviz
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---
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To start еру visualization of the state of Clever in real time, connect to it via Wi-Fi (`CLEVER-xxx`) and run rviz, specifying an appropriate ROS_MASTER_URI:
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```(bash)
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ROS_MASTER_URI=http://192.168.11.1:11311 rviz
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```
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If connection is not established, make sure the `.bashrc` of Clever contains line:
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```(bash)
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export ROS_HOSTNAME=`hostname`.local
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```
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Using rviz
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---
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### Visualization of the copter position
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It is recommended to set the `map` frame as a reference frame. To visualize the copter, add visualization markers from topic `/vehicle_markers`. To visualize the camera of the copter, add visualization markers from topic `/main_camera/camera_markers`.
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The result of copter and camera visualization is shown below:
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### Visualization of the environment
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You can view a picture with augmented reality from the topic of the main camera `/main_camera/image_raw`.
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Axis or Grid configured to frame `aruco_map` will visualize the location [on the map of ArUco marks](aruco.md).
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### jsk_rviz_plugins
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It is also recommended to install additional useful plugins for rviz [jsk_rviz_plugins](https://jsk-docs.readthedocs.io/en/latest/jsk_visualization/doc/jsk_rviz_plugins/index.html). This kit allows visualizing topics like `TwistStamped` (velocity) `CameraInfo`, `PolygonArray`, and many more. To install, use command:
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```(bash)
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sudo apt-get install ros-melodic-jsk-visualization
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```
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Starting the rqt toolkit
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---
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To start rqt for monitoring Clever status, use command:
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```(bash)
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ROS_MASTER_URI=http://192.168.11.1:11311 rqt
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```
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An example of starting a specific plugin (`rqt_image_view`):
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```(bash)
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ROS_MASTER_URI=http://192.168.11.1:11311 rqt_image_view
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```
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Brief description of useful rqt plugins:
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* `rqt_image_view` – viewing images from topics like `sensor_msgs/Image`;
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* `rqt_multiplot` – Building charts from the data from of arbitrary topics (installation: `sudo apt-get install ros-melodic-rqt-multiplot`);
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* Bag – working with [Bag-files](http://wiki.ros.org/rosbag).
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