TY  - BOOK
AB  - Evaluation of robotic experiments requires physical robots as well as position sensing systems. Accurate systems detecting sufficiently all necessary degrees of freedom, like the famous Vicon system, are commonly too expensive. Therefore, we target an economical multi-camera based solution by following these three requirements: Using multiple cameras to track even large laboratory areas, applying fiducial marker trackers for pose identification, and fuse tracking hypothesis resulting from multiple cameras via extended Kalman filter (i.e. ROS's robot\_localization). While the registration of a multi-camera system for collaborative tracking remains a challenging issue, the contribution of this paper is as follows: We introduce the framework of Cognitive Interaction Tracking (CITrack). Then, common fiducial marker tracking systems (ARToolKit, AprilTag, ArUco) are compared with respect to their maintainability. Lastly, a graph-based camera registration approach in SE(3), using the fiducial marker tracking in a multi-camera setup, is presented and evaluated.
DA  - 2019
KW  - Marker tracking
KW  - Marker
KW  - Fiducial Marker
KW  - publication
LA  - eng
PY  - 2019
TI  - Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29375116
Y2  - 2024-11-22T01:47:18
ER  -