2024
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
โ๏ธ William Ljungbergh , Adam Tonderski , Joakim Johnander , Holger Caesar , Kalle ร strรถm , Michael Felsberg , Christoffer Petersson
๐๏ธ European Conference on Computer Vision (ECCV), 2024
2023
NeuRAD: Neural Rendering for Autonomous Driving
โ๏ธ Adam Tonderski , Carl Lindstrรถm , Georg Hess , William Ljungbergh , Lennart Svensson , Christoffer Petersson
๐๏ธ Conference on Computer Vision and Pattern Recognition (CVPR), 2024
๐ https://arxiv.org/abs/2202.07909
๐ฅ highlight paper
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
โ๏ธ Mina Alibeigi , William Ljungbergh , Adam Tonderski , Georg Hess , Adam Lilja , Carl Lindstrรถm , Junsheng Fu , Daria Motorniuk , Jenny Widahl , Christoffer Petersson
๐๏ธ International Conference on Computer Vision (ICCV), 2023
2022
Raw or Cooked? Object detection on RAW images
โ๏ธ William Ljungbergh , Joakim Johnander , Christoffer Petersson , Michael Felsberg
๐๏ธ Scandinavian Conference on Image Analysis (SCIA), 2023
๐ https://arxiv.org/abs/2301.08965
๐ฅ oral presentation
Can deep learning be applied to model-based multi-object tracking?
โ๏ธ Juliano Pinto , Georg Hess , William Ljungbergh , Yuxuan Xia , Henk Wymeersch , Lennart Svensson
๐๏ธ preprint @ arXiv
2021
Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning
โ๏ธ Juliano Pinto , Georg Hess , William Ljungbergh , Yuxuan Xia , Lennart Svensson , Henk Wymeersch
๐๏ธ IEEE 24th International Conference on Information Fusion (FUSION), 2021
๐ https://arxiv.org/abs/2104.00734
๐ฅ best student paper