Optical radar

Remote sensing

Dynamic Vertical and Low-Intensity Outlier Removal for Efficient Snow Noise Removal from LiDAR Point Clouds in Adverse Weather

As autonomous driving technology advances, the reliability of LiDAR sensors in adverse weather conditions, such as snow, has become a pressing concern. Traditional denoising algorithms have limited effectiveness in handling snow noise, making it challenging to distinguish dynamic noise points from environmental features. Researchers at Shanghai Dianji University have proposed