R&D of 3D point cloud algorithms
3D point cloud data is a massive set of points obtained by LiDAR systems through optical ranging of surrounding objects representing the spatial distribution and surface characteristics of the targets. Object detection and recognition algorithms, SLAM real-time mapping and localization algorithms, and 3D object algorithms based on LiDAR point cloud data are widely applied in numerous fields such as autonomous driving, robot navigation, industrial inspection, and aerospace.
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