- TPVFormer: Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction [paper] [Github]
- VoxFormer: a Cutting-edge Baseline for 3D Semantic Occupancy Prediction [paper] [Github]
- Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review [paper]
- OccDepth: A Depth-aware Method for 3D Semantic Occupancy Network [paper] [Github]
- SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving [paper] [Github]
- OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception [paper] [Github]
- OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction [paper] [Github]
- BEVDet for occupancy: [Github]
- SimpleOccupancy: A Simple Attempt for 3D Occupancy Estimation in Autonomous Driving [paper] [Github]
- OVO: Open-Vocabulary Occupancy [paper] [Github]
- FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation[paper] [Github]
- UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering [paper]
- Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving [paper] [Github]
- OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception [paper] [Github]
- SurroundOcc [paper] [Github]
- Occupancy Dataset for nuScenes [Github]
- SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving [paper] [Github]
- Scene as Occupancy [paper] [Github]
- Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction [paper][Github]
- Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders [paper][Github]
- The world's First 3D Occupancy Benchmark for Scene Perception in Autonomous Driving [Github]
- A Look at Tesla's Occupancy Networks [CVPR2022 workshop][Tesla AI Day 2022]