Learn to Model and Filter Point Cloud Noise for a Near-Infrared ToF LiDAR in Adverse Weather

Light detection and ranging (LiDAR) limitations in adverse weather (e.g., rain, fog, and snow) prevent adopting high-level autonomous vehicles in all weather conditions. Furthermore, collecting and annotating these sparse point clouds in adverse weather is often cumbersome, inefficient, and expensiv... View More