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Career

· Student in Computer Science and Data Science, UC Berkeley2020–

Publications (14)

NeuRAD: Neural Rendering for Autonomous Driving
Computer Vision and Pattern Recognition · 2023
130
cited
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
IEEE International Conference on Computer Vision · 2023
92
cited
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
European Conference on Computer Vision · 2024
45
cited
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
Fusion · 2021
24
cited
Raw or Cooked? Object Detection on RAW Images
Scandinavian Conference on Image Analysis · 2023
24
cited
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
arXiv.org · 2022
14
cited
Deep Learning for Model-Based Multiobject Tracking
IEEE Transactions on Aerospace and Electronic Systems · 2023
11
cited
Decoupled Diffusion Sparks Adaptive Scene Generation
arXiv.org · 2025
10
cited
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
arXiv.org · 2025
6
cited
Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) · 2021
6
cited
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
arXiv.org · 2025
3
cited
Deep Deterministic Path Following
arXiv.org · 2021
Multitarget Tracking with Transformers
2021
On the Road to Safe Autonomous Driving via Data, Learning, and Validation
Linköping studies in science and technology, Dissertations · 2025
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William Ljungbergh | Researcher Profile | Sotabase | Sotabase