Rethinking LiDAR Object Detection in adverse weather conditions
Teja Vattem,George Sebastian,Luka Lukic,Teja Vattem,George Sebastian,Luka Lukic
LiDAR sensors are becoming crucial for achieving higher levels of autonomy. With the current sensor technology, LiDAR sensors are still susceptible to erroneous measurements in adverse weather conditions due to weather artifacts observed in the point cloud data. In this work, we analyze the performance of deep learning LiDAR object detectors in adverse weather conditions. We study the under-resear...
