Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Neural Information Processing Systems 

Robotic perception requires the modeling of both 3D geometry and semantics. Existing methods typically focus on estimating 3D bounding boxes, neglecting finer geometric details and struggling to handle general, out-of-vocabulary objects.