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Janik Brueckner 8d1278c7a1 aruco_detector: kommentiert 7 months ago
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README.md aruco_detector: kommentiert 7 months ago

README.md

Aruco detector

With this ROS2-Node can be determined the pose of different ArUco Markers. The goal of this project was to attach a marker on different robots, and get the absolute positions and orientations via a camera on the ceiling. However, this localization can also be applied to any other arbitary object. This project was created as an project thesis (MSY-Master).

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Requirements

  • Transforms3D

    For computing the pose the node requires this library. A detailed description can be found on: https://matthew-brett.github.io/transforms3d/)

    pip install transforms3d
    
  • usb_cam

    Usb_cam is a frequently used ros driver for V4L USB cameras. A detailed description can be found here: http://wiki.ros.org/usb_cam

    sudo apt get install ros-<ros2-distro>-usb-cam
    

    Important: It’s necessary to work with compressed images. Therefor you can use the image_transport library. A detailed description can be found here: http://wiki.ros.org/image_transport

Running the code

For an easy start there is already created a launch file. All required parameters can be set and edited centrally here. The launch-file starts:

  • aruco_detector_node
  • usb_cam
  • rqt_image_view

    cd launch/
    ros2 launch aruco_launch.py
    

An overview about the running topics is illustrated in the next picture.

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Output

  • topic: /aruco/aruco_poses

    The aruco_detector_node publishes a custom ros2 message.

        int64[] marker_ids
        geometry_msgs/Pose[] poses
    

    The array marker_ids contains all detected ids of the ArUco Markers. The array poses contains all poses of the detected ArUco Markers. This message will be published to the topic .

  • topic: /aruco/aruco_output_images/compressed

    To this topic will be published the output images. In this images the detected ArCuo Marker is highlighted and the pose is drawn using a coordinate system.

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