Author: Job van Dieten
Maintainer: Jordi Pages < firstname.lastname@example.org >
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ArUco marker detection (C++)Description: This tutorial shows how to detect fiducial markers using the ArUco library and to get its 3D pose.
Tutorial Level: BEGINNER
Next Tutorial: Person detection
This tutorial shows how to run fiducial marker detection with TIAGo using the OpenCV-based library ArUco. Fiducial markers is an example of robust model-based object detection. The ArUco markers are planar square binary markers that, provided the length of its square side, its 6 DoF pose can be estimated precisely from monocular vision.
First, make sure that the tutorials are properly installed along with the TIAGo simulation, as shown in the Tutorials Installation Section.
Open a four consoles and source the catking workspace as follows in each one:
cd ~/tiago_public_ws source ./devel/setup.bash
Now run the simulation in the first console as follows
$ roslaunch tiago_gazebo tiago_gazebo.launch public_sim:=true robot:=steel world:=tutorial_office gzpose:="-x -3.5 -y -0.85 -z 0 -R 0 -P 0 -Y -3.0"
This will spawn TIAGo in front of a board composed of multiple ArUco markers
In the second console run the marker detector with the appropriate remappings and parameters:
$ rosrun aruco_ros single /camera_info:=/xtion/rgb/camera_info /image:=/xtion/rgb/image_rect_color _marker_id:=584 _marker_size:=0.10 _marker_frame:=/aruco_frame _camera_frame:=/xtion_optical_frame _image_is_rectified:=true _reference_frame:=/base_footprint
In the above instruction we are telling the node to identify the marker with ID 584 and that the length of the square side is 10 cm.