LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud. (arXiv:2211.10023v1 [cs.CV])

LiDARs have been widely adopted to modern self-driving vehicles, providing 3D
information of the scene and surrounding objects. However, adverser weather
conditions still pose significant challenges to LiDARs since point clouds
captured during snowfall can easily be corrupted. The resulting noisy point
clouds degrade downstream tasks such as mapping. Existing works in de-noising
point clouds corrupted by snow are based on nearest-neighbor search, and thus
do not scale well with modern LiDARs which usually capture $100k$ or more
points at …

arxiv cloud lidar real-time snow