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...