Real Time 3D Semantic Segmentation

Real-Time 3D Semantic Segmentation is a key technology in the field of computer vision, aimed at classifying each pixel in a 3D scene in real-time and assigning it a specific semantic label. This technology achieves precise understanding and modeling of the environment by efficiently processing large-scale point cloud data, and is widely used in applications such as autonomous driving, robotic navigation, and virtual reality, significantly enhancing the perception and decision-making efficiency of systems.