CalTag: Robust calibration of mmWave Radar and LiDAR using backscatter tags
<|reference_start|>CalTag: Robust calibration of mmWave Radar and LiDAR using backscatter tags: The rise of automation in robotics necessitates the use of high-quality perception systems, often through the use of multiple sensors. A crucial aspect of a successfully deployed multi-sensor system is the calibration with a known object typically named fiducial. In this work, we propose a novel fiducial system for millimeter wave radars, termed as CalTag. CalTag addresses the limitations of traditional corner reflector-based calibration methods in extremely cluttered environments. CalTag leverages millimeter wave backscatter technology to achieve more reliable calibration than corner reflectors, enhancing the overall performance of multi-sensor perception systems. We compare the performance in several real-world environments and show the improvement achieved by using CalTag as the radar fiducial over a corner reflector.<|reference_end|>
@article{xu2024caltag:,
    title={CalTag: Robust calibration of mmWave Radar and LiDAR using backscatter
  tags},
    author={Junyi Xu, Kshitiz Bansal, and Dinesh Bharadia},
    journal={arXiv preprint arXiv:2408.16867},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.16867},
    primaryClass={cs.RO eess.SP}
}