TopoCoT @ WACV 2026

The 1st WACV 2026 Workshop on Robust and Generalized Lane Topology Understanding and HD Map Generation through CoT Design (TopoCoT) seeks to provide a platform for industry experts and academics to brainstorm and exchange ideas about road understanding CoT and its derived outstanding works to advance autonomous driving. Through a half-day in-person event, the workshop will showcase regular and demo paper presentations and invited talks from famous researchers in academia and industry. Additionally, TopoCoT will launch two open-source real-world CoT lane topology reasoning datasets. The workshop will host a challenge based on this dataset to assess the capabilities of language and computer vision models in addressing HD map generation challenges.

Important Dates/Links

• Challenge
• Datasets
• Workshop Day: Mar 7, 2026

Topics:

The workshop will cover a wide range of topics, including but not limited to:

• LLM for lane topology understanding and HD map generation.
• VLM for lane topology understanding and HD map generation.
• CoT for lane topology understanding and HD map generation.
• Reinforcement learning for lane topology understanding and HD map generation.
• Transfer learning for lane topology understanding and HD map generation.
• World modeling and simulation for lane topology understanding and HD map generation.
• Evaluation metrics and benchmarks for lane topology understanding and HD map generation.

Organizers

Dr. Zhen Li Assistant Professor, CUHKSZ	Dr. Chao Zheng Tencent	Dr. Hongyang Li Assistant Professor, HKU	Dr. Hao Zhao Assistant Professor, THU

Program Committee

Yiming Yang CUHKSZ	Chao Zhan CUHKSZ	Yihuan Yao CUHKSZ	Kun Tang Tencent	Zhipeng Cao Tencent	Erlong Li Tencent
Chao Yan Tencent	Shiyao Li Tencent	Xu Cao UIUC	Yifan Shen UIUC	Yunsheng Ma Purdue	Zhirun Yue THU

Schedule

Workshop Date:Mar 7, 2026

Workshop Location: TBD

Please find the tentative workshop schedule below:

Contact Us

If you have any questions or inquiries, please contact us at email.

Citation

If the workshop inspire you, please consider citing our work:

@article{wang2023openlane,
    title={Openlane-v2: A topology reasoning benchmark for unified 3d hd mapping},
    author={Wang, Huijie and Li, Tianyu and Li, Yang and Chen, Li and Sima, Chonghao and Liu, Zhenbo and Wang, Bangjun and Jia, Peijin and Wang, Yuting and Jiang, Shengyin and others},
    journal={Advances in Neural Information Processing Systems},
    volume={36},
    pages={18873--18884},
    year={2023}
    }
@article{li2023lanesegnet,
        title={Lanesegnet: Map learning with lane segment perception for autonomous driving},
        author={Li, Tianyu and Jia, Peijin and Wang, Bangjun and Chen, Li and Jiang, Kun and Yan, Junchi and Li, Hongyang},
        journal={arXiv preprint arXiv:2312.16108},
        year={2023}
      }
@article{yang2025topo2seq,
  title={Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning},
  author={Yang, Yiming and Luo, Yueru and He, Bingkun and Li, Erlong and Cao, Zhipeng and Zheng, Chao and Mei, Shuqi and Li, Zhen},
  journal={AAAI 2025},
  year={2025}
}

@article{yang2025topostreamer,
  title={TopoStreamer: Temporal Lane Segment Topology Reasoning in Autonomous Driving},
  author={Yang, Yiming and Luo, Yueru and He, Bingkun and Lin, Hongbin and Fu, Suzhong and Zheng, Chao and Cao, Zhipeng and Li, Erlong and Yan, Chao and Cui, Shuguang and others},
  journal={arXiv preprint arXiv:2507.00709},
  year={2025}
}

@article{yang2025fastopowm,
  title={FASTopoWM: Fast-Slow Lane Segment Topology Reasoning with Latent World Models},
  author={Yang, Yiming and Lin, Hongbin and Luo, Yueru and Fu, Suzhong and Zheng, Chao and Yan, Xinrui and Mei, Shuqi and Tang, Kun and Cui, Shuguang and Li, Zhen},
  journal={arXiv preprint arXiv:2507.23325},
  year={2025}
}

@article{luo2025reltopo,
  title={RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning},
  author={Luo, Yueru and Zhou, Changqing and Yang, Yiming and Li, Erlong and Zheng, Chao and Mei, Shuqi and Cui, Shuguang and Li, Zhen},
  journal={arXiv preprint arXiv:2506.13553},
  year={2025}
}