BEV/OCC
[CVPR 2024] PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
[TPAMI 2025] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
[IEEE TIP 2024] Camera-based Semantic Scene Completion with Sparse Guidance Network
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
[ECCV 2024] 3D World Model for Autonomous Driving
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
A full Python implementation for real car surround view system
[ECCV 2024] Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
(IEEE TIV) A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
