Lidar Semantic Segmentation

LIDAR Semantic Segmentation is a technology that uses LiDAR data to perform pixel-level classification of the environment, aiming to identify and distinguish different object categories such as vehicles, pedestrians, and buildings. This technique combines methods from computer vision and point cloud processing, leveraging high-precision 3D spatial information to achieve a detailed understanding of complex scenes. It is widely applied in areas like autonomous driving, robot navigation, and smart city management, enhancing the system's perception capabilities and decision-making efficiency.