Moving Point Cloud Processing

Moving Point Cloud Processing is a technology designed for the real-time processing and analysis of dynamic point cloud data, aiming to efficiently extract features, trajectories, and behavioral patterns of moving objects. By integrating time-series data, this technology enables precise perception and understanding of complex dynamic scenes, and is widely applied in areas such as autonomous driving, robot navigation, and virtual reality, enhancing the system's environmental adaptability and decision-making efficiency.