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A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
A PyTorch framework for semantic segmentation of large 3D point clouds using superpoint graphs.
A C++ library for fast ground segmentation from LiDAR point clouds using the line-fit algorithm.
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