Point Cloud Processing

Point cloud processing refers to the techniques and algorithms used to analyze, manipulate, and extract insights from 3D point cloud data, which is typically captured through LiDAR scanning or other 3D sensing technologies. As 3D data becomes increasingly prevalent in fields like robotics, autonomous vehicles, and geographic information systems, point cloud processing is gaining importance in the tech community for enabling applications such as object recognition, scene understanding, and spatial analysis.