Preprint
Oct 2026
Provisioning Robust and Efficient LiDAR Perception for Autonomous Driving
LiDAR perception provisioning is formulated as constructing a detector that remains accurate under point-cloud corruptions while meeting constraints on inference latency and peak GPU memory, and this method improves AP under corruption by 4.03 points on average over the corresponding original detectors.
Ting-Xu Han, Zi-Jie Shen, An Guo et al.
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