FB-BEV & FB-OCC: Forward-Backward View Transformations for Occupancy Prediction.

News

• [2023/8/01] FB-BEV was accepted to ICCV 2023.
• 🏆 [2023/6/16] FB-OCC wins both Outstanding Champion and Innovation Award in Autonomous Driving Challenge in conjunction with CVPR 2023 End-to-End Autonomous Driving Workshop and Vision-Centric Autonomous Driving Workshop.

Getting Started

• Installation
• Prepare Dataset
• Training, Eval, Visualization

INTRODUCTION

FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithms based on forward-backward view transformation strategies.

Model Zoo

Backbone	Method	Lr Schd	IoU	Config	Download
R50	FB-OCC	20ep	39.1	config	model

• More model weights will be released later.

Acknowledgement

Many thanks to these excellent open source projects:

• BEVFormer, BEVDet, Occ3D, OpenOccupancy, SoloFusion

BibTeX

If this work is helpful for your research, please consider citing:

@article{Li2023FBBEV,
  title={FB-BEV: BEV Representation from Forward-Backward View Transformations},
  author={Zhiqi Li and Zhiding Yu and Wenhai Wang and Anima Anandkumar and Tong Lu and Jos{\'e} Manuel {\'A}lvarez},
  year={2023},
  journal={IEEE/CVF International Conference on Computer Vision (ICCV)},
}