vic-traj-forecasting

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}
}