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Wei Yihan

1 accepted papers

2026

Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling via Reinforcement Learning

CVPR 2026

Detecting small aerial targets (SATs) in long-range LiDAR is challenging because motion causes extreme variations in point density, breaking fixed-voxel and static-threshold assumptions in standard 3D detection and tracking. To address the challenges, we introduce A3PRL, an RL-driven adaptive percep

Cited by 0SourceScholar