The availability of high-quality datasets is crucial for the development of behavior prediction algorithms in autonomous vehicles. This paper highlights the need to standardize the use of certain datasets for motion forecasting research to simplify comparative analysis and proposes a set of tools and practices to achieve this. Drawing on extensive experience and a comprehensive review of current literature, we summarize our proposals for preprocessing, visualization, and evaluation in the form of an open-sourced toolbox designed for researchers working on trajectory prediction problems. The clear specification of necessary preprocessing steps and evaluation metrics is intended to alleviate development efforts and facilitate the comparison of results across different studies. The toolbox is available at: https://github.com/westny/dronalize.
@article{arxiv.2405.00604,
title = {Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets},
author = {Theodor Westny and Björn Olofsson and Erik Frisk},
journal= {arXiv preprint arXiv:2405.00604},
year = {2025}
}