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William Ljungbergh
William Ljungbergh
Computer Vision Lab, Linköping University
Verified email at zenseact.com - Homepage
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Cited by
Year
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
552023
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
232021
Neurad: Neural rendering for autonomous driving
A Tonderski, C Lindström, G Hess, W Ljungbergh, L Svensson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
212024
Deep Learning for Model-Based Multiobject Tracking
J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson
IEEE Transactions on Aerospace and Electronic Systems 59 (6), 7363-7379, 2023
21*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
122023
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
92021
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
42024
Deep deterministic path following
G Hess, W Ljungbergh
arXiv preprint arXiv:2104.06014, 2021
22021
Transforming the field of multi-object tracking
G Hess, W Ljungbergh
12021
Neural Rendering for Safety-critical Autonomous Driving Simulation
W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Aström, ...
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