2025
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
✍️ William Ljungbergh , Adam Lilja , Adam Tonderski , Arvid Laveno Ling , Carl Lindström , Willem Verbeke , Junsheng Fu , Christoffer Petersson , Lars Hammarstrand , Michael Felsberg
🏛️ ArXiv
2024
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
✍️ William Ljungbergh , Adam Tonderski , Joakim Johnander , Holger Caesar , Kalle Åström , Michael Felsberg , Christoffer Petersson
🏛️ European Conference on Computer Vision (ECCV), 2024
2023
NeuRAD: Neural Rendering for Autonomous Driving
✍️ Adam Tonderski , Carl Lindström , Georg Hess , William Ljungbergh , Lennart Svensson , Christoffer Petersson
🏛️ Conference on Computer Vision and Pattern Recognition (CVPR), 2024
🔗 https://arxiv.org/abs/2202.07909
🔥 highlight paper
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
✍️ Mina Alibeigi , William Ljungbergh , Adam Tonderski , Georg Hess , Adam Lilja , Carl Lindström , Junsheng Fu , Daria Motorniuk , Jenny Widahl , Christoffer Petersson
🏛️ International Conference on Computer Vision (ICCV), 2023
2022
Raw or Cooked? Object detection on RAW images
✍️ William Ljungbergh , Joakim Johnander , Christoffer Petersson , Michael Felsberg
🏛️ Scandinavian Conference on Image Analysis (SCIA), 2023
🔗 https://arxiv.org/abs/2301.08965
🔥 oral presentation
2021
Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning
✍️ Juliano Pinto , Georg Hess , William Ljungbergh , Yuxuan Xia , Lennart Svensson , Henk Wymeersch
🏛️ IEEE 24th International Conference on Information Fusion (FUSION), 2021
🔗 https://arxiv.org/abs/2104.00734
🔥 best student paper