Provisioning Robust and Efficient LiDAR Perception for Autonomous Driving

Overview

The authors combine corruption-sensitive training with network and point-sampling reductions to provision LiDAR detectors under latency and memory constraints. Experiments assess detection accuracy, corruption robustness and resource use together.