Adam Lilja

Gothenburg, Sweden

Hi!
I’m a third year PhD student at Zenseact (Volvo Cars subsidiary for autonomous driving software) and Chalmers University of Technology working on autonomous driving.

My research interests include self-supervised scene understanding, mapping, and forecasting.

Prior to this, I worked as a Research Engineer conducting applied research for Driver, and Cabin Monitoring Systems at SmartEye. Before that I worked at Aptiv, developing Autonomous Driving and ADAS systems. I also hold a M.Sc. in Systems, Control and Robotics from Chalmers University of Technology.

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news

Mar 19, 2025	GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving is alive!
Dec 16, 2024	Half-way seminar! Thanks Boris Ivanovic for the great discussion!
Oct 14, 2024	New paper! Exploring Semi-Supervised Learning for Online Mapping
Feb 27, 2024	Are NeRFs ready for autonomous driving?
Feb 27, 2024	Our paper Localization Is All You Evaluate was accepted to CVPR 2024!

selected publications

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},
}

Exploring Semi-Supervised Learning for Online Mapping

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

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},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2025},
}

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},
}

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},
}

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},
}