BeTop: Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving

• Haochen Liu, Li Chen, Yu Qiao, Chen Lv and Hongyang Li
• arXiv paper | Slides TODO
• If you have any questions, please feel free to contact: Haochen Liu ( [email protected] )

Full code and checkpoints release is coming soon. Please stay tuned.

Overview

BeTop leverages braid theory to model multi-agent future behaviors in autonomous driving;

The synergetic framework, BeTopNet, integrates topology reasoning with prediction and planning tasks for autonomous driving.

TODO list

• Initial release
• Prediction pipeline in WOMD
• Planning pipeline in nuPlan

Citation

If you find the project helpful for your research, please consider citing our paper:

@inproceedings{liu2024betop,
 title={Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving}, 
 author={Haochen Liu and Li Chen and Yu Qiao and Chen Lv and Hongyang Li},
 booktitle={NeurIPS},
 year={2024}
}