Vision-Centric BEV Perception: A Survey
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Updated
Sep 3, 2023
Vision-Centric BEV Perception: A Survey
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
Bird's Eye View Perception
[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
Implementation of PF-Track
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
[ICRA 2023] Official Pytorch implementation for HFT
[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
Official codebase of HyDRa.
[TIP 2024] Pytorch implementation of the paper 'CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity'
Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
[ECCV 2024] RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
[ECCV 2024] RoScenes: A large-scale multi-view 3d dataset for roadside perception
Stitching and fusion of 4 pairs of on-board surround view fisheye simulation image sequences, odometer estimation and output of large pixel maps.
Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries [TIP 2024]
[CVPR 2023] PF-Track (3D MOT for Autonomous Driving)
粗糙、简单、有效的车道线特征检测算法实现
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