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Open access Aug 2026

A strengthened soft-point registration network for LiDAR point cloud registration

In complex environments, fast and accurate registration of LiDAR point clouds is crucial for ensuring the safety of robot environmental perception and other LiDAR-based applications. Existing point cloud registration methods typically rely on feature matching to find correspondences between points and use RANSAC to est...

Yi-Jie Chen, Bin Tian, Zeyun Wan et al. · 0 citations

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