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 | 46 | 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 | 20 | 2021 |
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 | 15* | 2023 |
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 | 13 | 2024 |
Raw or cooked? object detection on raw images W Ljungbergh, J Johnander, C Petersson, M Felsberg Scandinavian Conference on Image Analysis, 374-385, 2023 | 11 | 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 | 9 | 2021 |
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 | 2 | 2024 |
Deep deterministic path following G Hess, W Ljungbergh arXiv preprint arXiv:2104.06014, 2021 | 2 | 2021 |
Transforming the field of multi-object tracking G Hess, W Ljungbergh | 1 | 2021 |
Neural Rendering for Safety-critical Autonomous Driving Simulation W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Aström, ... | | |