WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
Published in ICML (International Conference on Machine Learning) 2025, 2025
This paper introduces WOMD-Reasoning, a comprehensive large-scale Q&A dataset built on the Waymo Open Motion Dataset (WOMD) that focuses on describing and reasoning about traffic rule-induced interactions in driving scenarios.
Recommended citation: @misc{li2025womdreasoninglargescaledatasetinteraction, title={WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving}, author={Yiheng Li and Cunxin Fan and Chongjian Ge and Zhihao Zhao and Chenran Li and Chenfeng Xu and Huaxiu Yao and Masayoshi Tomizuka and Bolei Zhou and Chen Tang and Mingyu Ding and Wei Zhan}, year={2025}, eprint={2407.04281}, archivePrefix={arXiv}, primaryClass={cs.RO}, url={https://arxiv.org/abs/2407.04281}, }
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