William Ljungbergh

According to our database, William Ljungbergh authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning for Model-Based Multiobject Tracking.

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson

IEEE Trans. Aerosp. Electron. Syst., December, 2023

NeuRAD: Neural Rendering for Autonomous Driving.

Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson

CoRR, 2023

Raw or Cooked? Object Detection on RAW Images.

William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

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, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Can Deep Learning be Applied to Model-Based Multi-Object Tracking?

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson

CoRR, 2022

2021

Deep Deterministic Path Following.

Georg Hess, William Ljungbergh

CoRR, 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

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control.

Jonas Berlin, Georg Hess, Anton Karlsson, William Ljungbergh, Ze Zhang, Knut Åkesson, Per-Lage Götvall

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021