Automotive LiDAR Based Precipitation State Estimation Using Physics Informed Spatio-Temporal 3D Convolutional Neural Networks (PIST-CNN)

With the rise of driving automation, optical sensors like cameras and LiDAR are playing a crucial role in vehicle perception. However, these sensors face challenges from harsh environmental conditions, including extreme temperatures and weather effects like fog and precipitation, which degrade their... View More