publications

2025

1. GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving

   William Ljungbergh, Adam Lilja, Arvid Ling, and 7 more authors

   arXiv, 2025

   arXiv Bib Code Website

   @article{ljungbergh2025gasp,
     title = {GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving},
     author = {Ljungbergh, William and Lilja, Adam and Ling, Arvid and Tonderski, Adam and Lindstr{\"o}m, Carl and Verbeke, Willem and Fu, Junsheng and Petersson, Christoffer and Hammarstrand, Lars and Felsberg, Michael},
     journal = {arXiv},
     year = {2025},
   }

2. Exploring Semi-Supervised Learning for Online Mapping

   Adam Lilja, Erik Wallin, Junsheng Fu, and 1 more author

   Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

   arXiv Bib

   @article{lilja2024exploring,
     title = {Exploring Semi-Supervised Learning for Online Mapping},
     author = {Lilja, Adam and Wallin, Erik and Fu, Junsheng and Hammarstrand, Lars},
     journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
     year = {2025},
   }

2024

1. Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it

   Adam Lilja, Junsheng Fu, Erik Stenborg, and 1 more author

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

   arXiv Bib Website

   @inproceedings{lilja2024localization,
     title = {Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it},
     author = {Lilja, Adam and Fu, Junsheng and Stenborg, Erik and Hammarstrand, Lars},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {22150--22159},
     year = {2024},
   }

2. Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap

   Carl Lindström, Georg Hess, Adam Lilja, and 4 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

   arXiv Bib Website

   @inproceedings{lindstrom2024nerfs,
     title = {Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap},
     author = {Lindstr{\"o}m, Carl and Hess, Georg and Lilja, Adam and Fatemi, Maryam and Hammarstrand, Lars and Petersson, Christoffer and Svensson, Lennart},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {4461--4471},
     year = {2024},
   }

2023

1. Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving

   Mina Alibeigi, William Ljungbergh, Adam Tonderski, and 7 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

   arXiv Bib Code Website

   @inproceedings{alibeigi2023zenseact,
     title = {Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving},
     author = {Alibeigi, Mina and Ljungbergh, William and Tonderski, Adam and Hess, Georg and Lilja, Adam and Lindstr{\"o}m, Carl and Motorniuk, Daria and Fu, Junsheng and Widahl, Jenny and Petersson, Christoffer},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {20178--20188},
     year = {2023},
   }