This file contains reference information for the Trajectory Prediction task in DiscoBench.

# Datasets References
These are the datasets supported by this task and their reference links:
- Argoverse 2: https://huggingface.co/datasets/saeedrmd/trajectory-prediction-argoverse2
- nuScenes: https://huggingface.co/datasets/saeedrmd/trajectory-prediction-nuscenes
- Waymo Open Dataset: https://huggingface.co/datasets/saeedrmd/trajectory-prediction-waymo

# Codebase References
- The code templates for this task are adapted from the following repositories:
  - UniTraj: https://github.com/vita-epfl/UniTraj
  - AutoBot (ICLR 2022): https://github.com/roggirg/AutoBot

# Paper References
@article{feng2024unitraj,
  title={UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction},
  author={Feng, Lan and Bahari, Mohammadhossein and Amor, Kaouther Messaoud Ben and Zablocki, Eloi and Cord, Matthieu and Alahi, Alexandre},
  journal={arXiv preprint arXiv:2403.15098},
  year={2024}
}

@inproceedings{girgis2022autobot,
  title={Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction},
  author={Girgis, Roger and Golber, Florian and Codevilla, Felipe and Tsai, Martin and Urtasun, Raquel},
  booktitle={ICLR},
  year={2022}
}
