Xing-Min Chen

SP-VoxelDet: Channel-Efficient Fully Sparse 3D Object Detection via Partial Convolution

Efficient and reliable 3D perception is fundamental for autonomous robotic systems under strict onboard computational constraints. Although sparse convolution exploits spatial sparsity in LiDAR point clouds, existing methods largely overlook channel redundancy, creating unnecessary overhead on resource-limited platform...