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Self-Supervised Scene Flow Estimation with 4D Automotive Radar. (arXiv:2203.01137v2 [cs.CV] UPDATED)
May 26, 2022, 1:13 a.m. | Fangqiang Ding, Zhijun Pan, Yimin Deng, Jianning Deng, Chris Xiaoxuan Lu
cs.CV updates on arXiv.org arxiv.org
Scene flow allows autonomous vehicles to reason about the arbitrary motion of
multiple independent objects which is the key to long-term mobile autonomy.
While estimating the scene flow from LiDAR has progressed recently, it remains
largely unknown how to estimate the scene flow from a 4D radar - an
increasingly popular automotive sensor for its robustness against adverse
weather and lighting conditions. Compared with the LiDAR point clouds, radar
data are drastically sparser, noisier and in much lower resolution. Annotated …
More from arxiv.org / cs.CV updates on arXiv.org
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