Awesome BEV Perception from Multi-Cameras
ECCV 2020
- Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D [paper] [Github]
CoRL 2021
ICCV 2021
- FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras [paper] [Github]
CVPR 2022
ICRA 2022
ACMM 2022
- Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection [paper]
ECCV 2022
- BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers [paper] [Github]
- PETR: Position Embedding Transformation for Multi-View 3D Object Detection [paper][Github]
- ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning [paper][Github]
- SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention[paper] [Github]
CoRL 2022
WACV 2023
- BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs [paper]
Arxiv 2022
- BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View [paper] [Github]
- BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection [paper]
- PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images [paper][Github]
- M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation [paper]
- BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving [paper] [Github]
- PolarDETR: Polar Parametrization for Vision-based Surround-View 3D Detection[paper] [Github]
- PolarFormer: Multi-camera 3D Object Detection with Polar Transformers[paper] [Github]
- CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection[paper] [Github]
- BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection [paper][Github]
- A Simple Baseline for BEV Perception Without LiDAR [paper] [Github]
- BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision [paper]
- AeDet: Azimuth-invariant Multi-view 3D Object Detection [paper] [Github]
BEV + Stereo
- BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo [paper] [Github]
- Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection [paper][Github]
- STS: Surround-view Temporal Stereo for Multi-view 3D Detection [paper]
HD Map Construction
- HDMapNet: An Online HD Map Construction and Evaluation Framework [paper] [Github]
- MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction [paper] [Github]
Multi-sensor fusion
- FUTR3D: A Unified Sensor Fusion Framework for 3D Detection [paper] [Github]
- BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework [paper] [Github]
- Unifying Voxel-based Representation with Transformer for 3D Object Detection [paper] [Github]
- BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation [paper] [Github]
- aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception [paper] [Github]
Survey
- Vision-Centric BEV Perception: A Survey [paper] [Github]
- Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe [paper][Github]
others
- Focal Sparse Convolutional Networks for 3D Object Detection [paper] [Github]
- Voxel Field Fusion for 3D Object Detection [paper] [Github]
- Scaling up Kernels in 3D CNNs [paper] [Github]