Vision-based 3D Occupancy Prediction for Autonomous Driving

Researchers from Beihang University have published a comprehensive review mapping the evolution of vision-based 3D occupancy prediction for autonomous driving. The paper introduces a novel three-stream taxonomy–feature enhancement, deployment-friendly, and label-efficient approaches–while analyzing key challenges and highlighting future directions including world model integration and 4D prediction.