3D Semantic Occupancy Prediction

3D Semantic Occupancy Prediction is an advanced task in the field of computer vision, which involves training and testing using sparse LiDAR semantic labels to predict the semantic category and occupancy status of each voxel in 3D space. This task can enhance the accuracy and efficiency of scene understanding, making it highly valuable for applications such as autonomous driving, robotic navigation, and virtual reality.