S-attack library:
A library for evaluating trajectory prediction models
This library contains two research projects to assess the trajectory prediction models, Scene-attack which evaluates the scene-understanding of models and Social-attack which evaluates social understanding of them.
Vehicle trajectory prediction works, but not everywhere, CVPR 2022
M. Bahari, S. Saadatnejad, A. Rahimi, M. Shaverdikondori, A. Shahidzadeh, S. Moosavi-Dezfooli, A. Alahi
Website Paper Citation Code
Are socially-aware trajectory prediction models really socially-aware?, arxiv 2021
S. Saadatnejad, M. Bahari, P. Khorsandi, M. Saneian, S. Moosavi-Dezfooli, A. Alahi
Website Paper Citation Code
For citation:
@InProceedings{bahari2022sattack,
author = {Bahari, Mohammadhossein and Saadatnejad, Saeed and Rahimi, Ahmad and Shaverdikondori, Mohammad and Shahidzadeh, Amir-Hossein and Moosavi-Dezfooli, Seyed-Mohsen and Alahi, Alexandre},
title = {Vehicle trajectory prediction works, but not everywhere},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}
@article{saadatnejad2021sattack,
title={Are socially-aware trajectory prediction models really socially-aware?},
author={Saadatnejad, Saeed and Bahari, Mohammadhossein and Khorsandi, Pedram and Saneian, Mohammad and Moosavi-Dezfooli, Seyed-Mohsen and Alahi, Alexandre},
journal={arXiv preprint arXiv:2108.10879},
year={2021}
}