Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

Vision-Centric BEV Perception: A Survey

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 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)

A Data Converter for Nuplan and VAD(VADv2)

粗糙、简单、有效的车道线特征检测算法实现