bev-perception
There are 20 repositories under bev-perception topic.
NVlabs/FB-BEV
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
4DVLab/Vision-Centric-BEV-Perception
Vision-Centric BEV Perception: A Survey
vasgaowei/BEV-Perception
Bird's Eye View Perception
MCG-NJU/SparseBEV
[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
JiayuZou2020/DiffBEV
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
TRI-ML/PF-Track
Implementation of PF-Track
DerrickXuNu/CoBEVT
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
JiayuZou2020/HFT
[ICRA 2023] Official Pytorch implementation for HFT
alfredgu001324/MapBEVPrediction
[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
sunnyHelen/JPerceiver
[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
phi-wol/hydra
Official codebase of HyDRa.
MasterHow/CoBEV
[TIP 2024] Pytorch implementation of the paper 'CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity'
Ikhyeon-Cho/height_mapping
Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
lucifer443/RecurrentBEV
[ECCV 2024] RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
roscenes/RoScenes
[ECCV 2024] RoScenes: A large-scale multi-view 3d dataset for roadside perception
cuixing158/Visual-Based-Odometry-Estimation
Stitching and fusion of 4 pairs of on-board surround view fisheye image sequences, odometer estimation and output of large pixel maps.
maggiesong7/SDTR
Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries [TIP 2024]
priest-yang/Nuplan-VAD-DataGen
A Data Converter for Nuplan and VAD(VADv2)
ziqipang/PF-Track
[CVPR 2023] PF-Track (3D MOT for Autonomous Driving)
cuixing158/segmentLaneMarkerRidge
粗糙、简单、有效的车道线特征检测算法实现