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CVSD-Reg achieves a remarkable 97.7% success rate on challenging LiDAR datasets, outperforming existing methods by up to 44% without relying on camera data.
LF-GICP achieves the lowest translation error on the KITTI dataset while generalizing across multiple sensor types, all without parameter tuning.