Publications.

• SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
  Georg Hess^*,  Carl Lindström^*,  Maryam Fatemi,  Christoffer Petersson,  Lennart Svensson
  arXiv
• Towards Accurate Ego-lane Identification with Early Time Series Classification
  Yuchuan Jin,  Theodor Stenhammar,  David Bejmer,  Axel Beauvisage,  Yuxuan Xia,  Junsheng Fu
  arXiv
• NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
  William Ljungbergh^*,  Adam Tonderski^*,  Joakim Johnander,  Holger Caesar,  Kalle Åstrom,  Michael Felsberg,  Christoffer Petersson
  European Conference on Computer Vision (ECCV), 2024
• Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
  Carl Lindström^*,  Georg Hess^*,  Adam Lilja,  Maryam Fatemi,  Lars Hammarstrand,  Christoffer Petersson,  Lennart Svensson
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
• NeuRAD: Neural Rendering for Autonomous Driving
  Adam Tonderski^*,  Carl Lindström^*,  Georg Hess^*,  William Ljungbergh,  Christoffer Petersson,  Lennart Svensson
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
• Robust stutter bisimulation for abstraction and controller synthesis with disturbance
  Jonas Krook,  Robi Malik,  Sahar Mohajerani,  Martin Fabian
  Automatica
• Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
  Adam Lilja,  Erik Stenborg,  Junsheng Fu,  Lars Hammarstrand
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
• You can have your ensemble and run it too — Deep Ensembles Spread Over Time
  Isak Meding^*,  Alexander Bodin^*,  Adam Tonderski,  Christoffer Petersson,  Lennart Svensson
  International Conference on Computer Vision (ICCV), 2023
• HEAL-SWIN: A Vision Transformer On The Sphere
  Oscar Carlsson^*,  Jan E. Gerken^*,  Hampus Linander,  Heiner Spieß,  Fredrik Ohlsson,  Christoffer Petersson,  Daniel Persson
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
• 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
  International Conference on Computer Vision (ICCV), 2023
• Minimax-Bayes Reinforcement Learning
  Thomas Buening^*,  Christos Dimitrakakis^*,  Hannes Eriksson^*,  Divya Grover^*,  Emilio Jorge^*
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
• Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
  Hannes Eriksson,  Debabrota Basu,  Tommy Tram,  Mina Alibeigi,  Christos Dimitrakakis
  The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024
• Raw or Cooked? Object detection on RAW images
  William Ljungbergh,  Joakim Johnander,  Christoffer Petersson,  Michael Felsberg
  Scandinavian Conference on Image Analysis (SCIA), 2023
• LidarClip or: How I learned to talk to point clouds
  Georg Hess^*,  Adam Tonderski^*,  Christoffer Petersson,  Lennart Svensson
  Winter Conference on Applications of Computer Vision (WACV), 2024
• Voxel-MAE: Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds
  Georg Hess,  Johan Jaxing,  Elias Svensson,  David Hagerman,  Christoffer Petersson,  Lennart Svensson
  Winter Conference on Applications of Computer Vision (WACV), 2023
• Uncertainty Aware Data Driven Precautionary Safety for Automated Driving Systems Considering Perception Failures and Event Exposure
  Magnus Gyllenhammar,  Gabriel Rodrigues de Campos,  Fredrik Sandblom,  Martin Törngren,  Håkan Sivencrona
  33rd IEEE Intelligent Vehicles Symposium
• Finding critical scenarios for automated driving systems-A systematic mapping study
  Xinhai Zhang,  Jianbo Tao,  Jianbo Tan,  Martin Törngren,  José Manuel Gaspar Sanchez,  Muhammad Rusyadi Ramli,  Xin Tao,  Magnus Gyllenhammar,  Franz Wotawa,  Naveen Mohan,  Mihai Nica,  Hermann Feilbinger
  IEEE Transactions on Software Engineering
• Future Object Detection with Spatiotemporal Transformers
  Adam Tonderski,  Joakim Johnander,  Christoffer Petersson,  Kalle Åstrom
  What is Motion for? A ECCV Workshop, 2022
• Object Detection as Probabilistic Set Prediction
  Georg Hess,  Christoffer Petersson,  Lennart Svensson
  European Conference on Computer Vision (ECCV), 2022
• Minimal risk condition for safety assurance of automated driving systems
  Magnus Gyllenhammar,  Mattias Brännström,  Rolf Johansson,  Fredrik Sandblom,  Stig Ursing,  Fredrik Warg
  CARS 2021 - 6th International Workshop on Critical Automotive Applications - Robustness and Safety
• ADS Safety Assurance – Future Directions
  Magnus Gyllenhammar,  Carl Bergenhem,  Fredrik Warg
  CARS 2021 - 6th International Workshop on Critical Automotive Applications - Robustness and Safety
• SENTINEL: Taming Uncertainty with Ensemble based Distributional Reinforcement Learning
  Hannes Eriksson,  Debabrota Basu,  Mina Alibeigi,  Christos Dimitrakakis
  The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022
• Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
  Carl-Johan Hoel,  Tommy Tram,  Jonas Sjöberg
  IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
• The quantitative risk norm-a proposed tailoring of HARA for ADS
  Fredrik Warg,  Martin Skoglund,  Anders Thorsén,  Rolf Johansson,  Mattias Brännström,  Magnus Gyllenhammar,  Martin Sanfridson
  50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
• Defining Fundamental Vehicle Actions for the Development of Automated Driving Systems
  Magnus Gyllenhammar,  Carl Zandén,  Martin Törngren
  SAE World Congress Experience 2020
• Towards an Operational Design Domain That Supports the Safety Argumentation of an Automated Driving System
  Magnus Gyllenhammar,  Rolf Johansson,  Fredrik Warg,  DeJiu Chen,  Hans-Martin Heyn,  Martin Sanfridson,  Jan Söderberg,  Anders Thorsén,  Stig Ursing
  10th European Congress on Embedded Real Time Systems, 2020
• Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
  Tommy Tram,  Ivo Batkovic,  Mohammad Ali,  Jonas Sjöberg
  IEEE 22nd International Conference on Intelligent Transportation Systems (ITSC), 2019
• Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
  Tommy Tram,  Anton Jansson,  Robin Grönberg,  Mohammad Ali,  Jonas Sjöberg
  IEEE 21st International Conference on Intelligent Transportation Systems (ITSC), 2018