Point Cloud Segmentation

Point cloud segmentation is the process of dividing a collection of data points—collected by devices like LiDAR or 3D scanners—into meaningful parts. Each point represents a small piece of the scanned environment or object. Segmentation helps identify and separate different surfaces, objects, or regions within the data, making it easier to analyze or interpret. For example, in autonomous vehicles, segmentation distinguishes the road, pedestrians, and other vehicles from the surrounding environment, enabling safe navigation. Overall, it's a crucial step in transforming raw 3D data into useful, organized information for various applications.