OccNet: Scene as Occupancy
We believe Occupancy serves as a general
representation of the scene and could facilitate perception and planning in the full-stack of autonomous driving.
https://github.com/OpenDriveLab/OccNet/assets/54334254/92fb43a0-0ee8-4eab-aa53-0984506f0ec3
Scene as Occupancy
- Paper in arXiv | CVPR 2023 AD Challenge Occupancy Track
- Point of contact: [email protected] or [email protected].
We provide a full-scale 3D occupancy leaderboard based on our CVPR 2023 AD challenge. Top 6 at a glance here (by 06-09-2023). Check the website out!
v1.0
v1.0
We will release pre-trained weight soon.
v1.0
v1.0
All assets (including figures and data) and code are under the Apache 2.0 license unless specified otherwise.
Please consider citing our paper if the project helps your research with the following BibTex:
@article{tong2023scene,
title={Scene as Occupancy},
author={Wenwen Tong and Chonghao Sima and Tai Wang and Silei Wu and Hanming Deng and Li Chen and Yi Gu and Lewei Lu and Ping Luo and Dahua Lin and Hongyang Li},
year={2023},
eprint={2306.02851},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
We host the first 3D occupancy prediciton challenge on CVPR 2023 End-to-end Autonomous Driving Workshop. For more information about the challenge, please refer to here.