Data underlying the publication: Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation

This zip file contains the results from the following paper:Schumann, J., Hagenus, J., Mathiesen, F., &amp; Zgonnikov, A. (2026). Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation. <em>Journal on Autonomous Transportation Systems</em>.<br>Specifically, this dataset contains the datasets, the trained models, the generated adversarial attacks, and the corresponding model predictions and extracted metrics, where the latter are reported in the paper.<br>The use and reproduction of this data is described in the following GitHub repository:https://github.com/DAI-Lab-HERALD/General-Framework-Adversarial-Attack/tree/main