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Lanelet2 maps for the nuScenes dataset, which enable the usage of diverse map-based anchor paths and spatial semantic information. For details see our paper and project page. We also provide a pip package to facilitate the usage. The maps were generated automatically and subsequently manually refined. If you use this resource for scientific research, please consider citing @InProceedings{naumannHertleinLanelet2NuScenes2023, author = {Naumann, Alexander and Hertlein, Felix and Grimm, Daniel and Zipfl, Maximilian and Thoma, Steffen and Rettinger, Achim and Halilaj, Lavdim and Luettin, Juergen and Schmid, Stefan and Caesar, Holger}, title = {Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-Based Anchor Paths}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3247-3256} }
autonomous driving, HD map, map, nuScenes, motion prediction
autonomous driving, HD map, map, nuScenes, motion prediction
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