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Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities. (arXiv:2112.04282v2 [cs.RO] UPDATED)
Jan. 17, 2022, 2:11 a.m. | Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin
cs.LG updates on arXiv.org arxiv.org
Radar shows great potential for autonomous driving by accomplishing
long-range sensing under diverse weather conditions. But radar is also a
particularly challenging sensing modality due to the radar noises. Recent works
have made enormous progress in classifying free and occupied spaces in radar
images by leveraging lidar label supervision. However, there are still several
unsolved issues. Firstly, the sensing distance of the results is limited by the
sensing range of lidar. Secondly, the performance of the results is degenerated
by …
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