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Benchmark for Trajectory Forecasting Tasks on TFD Dataset

Benchmark

Using Inf. Trajectories Base Model minADE minFDE MR Checkpoint README
✕ TNT 8.45 17.93 0.77 checkpoint TNT README
Online TNT 8.00 16.65 0.75 checkpoint
Offline TNT 4.38 9.37 0.62 checkpoint
✕ HiVT 1.44 2.52 0.36 checkpoint HiVT README
Online HiVT 1.26 2.34 0.35 checkpoint
Offline HiVT 1.39 2.23 0.32 checkpoint

Citation

@inproceedings{zhou2022hivt,
  title={Hivt: Hierarchical vector transformer for multi-agent motion prediction},
  author={Zhou, Zikang and Ye, Luyao and Wang, Jianping and Wu, Kui and Lu, Kejie},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8823--8833},
  year={2022}
}
@inproceedings{zhao2021tnt,
  title={Tnt: Target-driven trajectory prediction},
  author={Zhao, Hang and Gao, Jiyang and Lan, Tian and Sun, Chen and Sapp, Ben and Varadarajan, Balakrishnan and Shen, Yue and Shen, Yi and Chai, Yuning and Schmid, Cordelia and others},
  booktitle={Conference on Robot Learning},
  pages={895--904},
  year={2021},
  organization={PMLR}
}
@inproceedings{yu2023v2x,
  title={V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting},
  author={Yu, Haibao and Yang, Wenxian and Ruan, Hongzhi and Yang, Zhenwei and Tang, Yingjuan and Gao, Xu and Hao, Xin and Shi, Yifeng and Pan, Yifeng and Sun, Ning and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5486--5495},
  year={2023}
}