Robust Point Cloud Recognition Model Sharing

With the rapid development of mobile and edge-integrated sensing technologies, 3D point clouds have emerged as a fundamental data modality for understanding and interacting with the physical world. They provide rich spatial and geometric information that enables autonomous driving, mobile robotics, and intelligent IoT devices to perceive and reason about their surroundings in real time. In particular, the development of edge-deployed sensors, such as LiDAR, depth cameras, and structured-light sensors, has made it feasible to capture and process 3D point clouds directly at the network edge, empowering low-latency perception and decision-making for safety-critical systems.