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APRILTAG
Visual fiducial tags for robot pose, calibration, and tracking
BSD-2-Clause
ABOUT
Robots need known landmarks in a camera image for pose and identity. AprilTag detects robust square codes and estimates 6-DoF pose so teams calibrate cameras, localize relative to a map of tags, and run multi-robot experiments without custom markers.
INTEGRATION GUIDE
1. Localize a robot or camera relative to printed AprilTag landmarks
2. Calibrate camera extrinsics using detected tag poses
3. Track objects or docks that carry fiducial tags
4. Run multi-robot experiments with unique tag IDs per agent
TAGS
cpythonroboticsfiducialcomputer-visionlocalizationcalibrationpose