William Ljungbergh
William Ljungbergh
Computer Vision Lab, Linköping University
Verified email at - Homepage
Cited by
Cited by
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
M Alibeigi, W Ljungbergh, A Tonderski, G Hess, A Lilja, C Lindström, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning
J Pinto, G Hess, W Ljungbergh, Y Xia, L Svensson, H Wymeersch
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021
Deep learning for model-based multi-object tracking
J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson
IEEE Transactions on Aerospace and Electronic Systems, 2023
Raw or cooked? object detection on raw images
W Ljungbergh, J Johnander, C Petersson, M Felsberg
Scandinavian Conference on Image Analysis, 374-385, 2023
NeuRAD: Neural rendering for autonomous driving
A Tonderski, C Lindström, G Hess, W Ljungbergh, L Svensson, ...
arXiv preprint arXiv:2311.15260, 2023
Trajectory generation for mobile robots in a dynamic environment using nonlinear model predictive control
J Berlin, G Hess, A Karlsson, W Ljungbergh, Z Zhang, K Åkesson, ...
2021 IEEE 17th International Conference on Automation Science and …, 2021
Transforming the field of multi-object tracking
G Hess, W Ljungbergh
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Åström, ...
arXiv preprint arXiv:2404.07762, 2024
Deep Deterministic Path Following
G Hess, W Ljungbergh
arXiv preprint arXiv:2104.06014, 2021
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