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This is a list of papers related to traffic agent trajectory prediction.
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| 2026-07-31 | 523 |
| 2026-08-06 | 525 |
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# Awesome-Traffic-Agent-Trajectory-Prediction               # 🤝 Contributions This is a list of the latest research materials (datasets, papers, and codes) related to traffic agent trajectory prediction. Continuously updated, welcome to pay attention! **Maintainers: Chaoneng Li (Lanzhou Jiaotong University) Emails: [email protected]** Please feel free to pull requests to add new resources or send emails to us for questions, discussions, and collaborations. **We would like to connect more students, teachers, and bigwigs in the field of multi-agent trajectory prediction, and if you would like to do the same, you can add me on WeChat (CN15691969157). Let's create the Trajectory Prediction Community Group together!** # 🧐 Citation Please consider citing our papers if this repository accelerates your research: ``` @article{11222824, author={Li, Chaoneng and Wang, Xiaolong and Zhao, Shuxu and Wang, Xiaohu and Ye, Ze}, journal={IEEE Transactions on Vehicular Technology}, title={DiffMATP: Interaction-Aware Multi-Agent Trajectory Prediction via Denoising Diffusion Models}, year={2025}, pages={1-14}, doi={10.1109/TVT.2025.3627215}} @inproceedings{li2022fidelity, title={Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection}, author={Li, Chaoneng and Chao, Qianwen and Feng, Guanwen and Wang, Qiongyan and Liu, Pengfei and Li, Yunan and Miao, Qiguang}, booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages={8157--8164}, year={2022}, organization={IEEE} } @article{li2024difftad, title={DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection}, author={Li, Chaoneng and Feng, Guanwen and Li, Yunan and Liu, Ruyi and Miao, Qiguang and Chang, Liang}, journal={Knowledge-Based Systems}, volume={286}, pages={111387}, year={2024}, publisher={Elsevier} } ``` ****** # 📜 Table of Contents <!-- TOC depthFrom:1 depthTo:6 withLinks:1 updateOnSave:1 orderedList:0 --> - [Awesome-Traffic-Agent-Trajectory-Prediction](#awesome-traffic-agent-trajectory-prediction) - [🤝 Contributions](#-contributions) - [🧐 Citation](#-citation) - [📜 Table of Contents](#-table-of-contents) - [📚 Traditional Methods](#-traditional-methods) - [📚 2018 and Before Conference and Journal Papers](#-2018-and-before-conference-and-journal-papers) - [Conference Papers](#conference-papers) - [Journal Papers](#journal-papers) - [Others](#others) - [📚 2019 Conference
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8d39439229ef1854, topic:awesome, topic:papers, desc:a list of