Point Cloud Segmentation

Point cloud segmentation refers to the process of classifying 3D point cloud data into multiple homogeneous regions with similar attributes. This technique aims to overcome challenges such as high redundancy, non-uniform sampling density, and lack of explicit structure in point cloud data, and it is widely applied in the field of robotics, including intelligent vehicles, autonomous mapping, and navigation.