Lanelet2 for nuScenes: Map Dataset

<p><a href="https://github.com/fzi-forschungszentrum-informatik/Lanelet2">Lanelet2</a> maps for the <a href="http://www.nuscenes.org/nuscenes">nuScenes</a> dataset, which enable the usage of diverse map-based anchor paths and spatial semantic information. For details see our <a href="https://openaccess.thecvf.com/content/CVPR2023W/E2EAD/html/Naumann_Lanelet2_for_nuScenes_Enabling_Spatial_Semantic_Relationships_and_Diverse_Map-Based_CVPRW_2023_paper.html">paper</a> and <a href="https://felixhertlein.github.io/lanelet4nuscenes/">project page</a>. We also provide a <a href="https://pypi.org/project/lanelet2anchors/">pip package</a> to facilitate the usage.</p> <p>The maps were generated automatically and subsequently manually refined.</p> <p>&nbsp;</p> <p>If you use this resource for scientific research, please consider citing</p> <pre><code>@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} }</code></pre>