Author

Ting-Xu Han

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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. · 0 citations