The Talk2Car dataset is an object reference dataset that contains commands written in natural language for self-driving cars, that is, passengers can give commands to self-driving cars by speaking. The Talk2Car dataset is built on the nuScenes dataset and includes a wide set of sensor modalities, namely semantic maps, GPS, LiDAR, radar, and 360° RGB images with 3D bounding box annotations. The dataset was published by KU Leuven in Belgium.

Citation

@inproceedings{deruyttere2019talk2car, title={Talk2Car: Taking Control of Your Self-Driving Car}, author={Deruyttere, Thierry and Vandenhende, Simon and Grujicic, Dusan and Van Gool, Luc and Moens, Marie Francine}, booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)}, pages={2088–2098}, year={2019} }