publications

2025

1. 

   SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

   Georg Hess, Carl Lindström, Maryam Fatemi, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025

   arXiv Bib Code Website

   @inproceedings{hess2024splatad,
     title = {SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving},
     author = {Hess, Georg and Lindstr{\"o}m, Carl and Fatemi, Maryam and Petersson, Christoffer and Svensson, Lennart},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2025},
     month = jun,
     pages = {11982-11992},
   }

2. Pensieve Perception: Uncertainty, Language, and Novel Views for Autonomous Driving

   Georg Hess

   Chalmers University of Technology, May 2025

   Bib Website

   @phdthesis{hess2025pensieve,
     title = {Pensieve Perception: Uncertainty, Language, and Novel Views for Autonomous Driving},
     author = {Hess, Georg},
     school = {Chalmers University of Technology},
     year = {2025},
     month = may,
   }

3. Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction

   Ze Zhang, Georg Hess, Junjie Hu, and 3 more authors

   IEEE Robotics and Automation Letters, 2025

   arXiv Bib

   @article{zhang2025future,
     title = {Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction},
     author = {Zhang, Ze and Hess, Georg and Hu, Junjie and Dean, Emmanuel and Svensson, Lennart and {\AA}kesson, Knut},
     journal = {IEEE Robotics and Automation Letters},
     volume = {10},
     number = {8},
     pages = {8043-8050},
     year = {2025},
   }

2024

1. 

   LidarCLIP or: How I Learned to Talk to Point Clouds

   Georg Hess^*, Adam Tonderski^*, Christoffer Petersson, and 2 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024

   arXiv Bib Code Website

   @inproceedings{hess2024lidarclip,
     title = {LidarCLIP or: How I Learned to Talk to Point Clouds},
     author = {Hess, Georg and Tonderski, Adam and Petersson, Christoffer and {\AA}str{\"o}m, Kalle and Svensson, Lennart},
     booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
     year = {2024},
     month = jan,
   }

2. 

   NeuRAD: Neural Rendering for Autonomous Driving

   Adam Tonderski, Carl Lindström, Georg Hess, and 3 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024

   Highlight arXiv Bib Code Website

   Selected as a highlight at CVPR 2024 (top 11% of accepted papers)

   @inproceedings{tonderski2024neurad,
     title = {NeuRAD: Neural Rendering for Autonomous Driving},
     author = {Tonderski, Adam and Lindstr{\"o}m, Carl and Hess, Georg and Ljungbergh, William and Svensson, Lennart and Petersson, Christoffer},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2024},
     pages = {14895-14904},
   }

3. 

   Are NeRFs Ready for Autonomous Driving? Towards Closing the Real-to-simulation Gap

   Carl Lindström, Georg Hess, Adam Lilja, and 4 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024

   arXiv Bib Website

   @inproceedings{lindstrom2024nerfs,
     author = {Lindstr{\"o}m, Carl and Hess, Georg and Lilja, Adam and Fatemi, Maryam and Hammarstrand, Lars and Petersson, Christoffer and Svensson, Lennart},
     title = {Are NeRFs Ready for Autonomous Driving? Towards Closing the Real-to-simulation Gap},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
     month = jun,
     year = {2024},
     pages = {4461-4471},
   }

2023

1. 

   Deep Learning for Model-Based Multi-Object Tracking

   Juliano Pinto, Georg Hess, William Ljungbergh, and 3 more authors

   IEEE Transactions on Aerospace and Electronic Systems, Jun 2023

   DOI arXiv Bib Code

   @article{10163871,
     author = {Pinto, Juliano and Hess, Georg and Ljungbergh, William and Xia, Yuxuan and Wymeersch, Henk and Svensson, Lennart},
     journal = {IEEE Transactions on Aerospace and Electronic Systems},
     title = {Deep Learning for Model-Based Multi-Object Tracking},
     year = {2023},
     month = jun,
     pages = {1-17},
     doi = {10.1109/TAES.2023.3289164},
   }

2. 

   Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

   Georg Hess, Johan Jaxing, Elias Svensson, and 3 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2023

   DOI arXiv Bib Code Website

   @inproceedings{hess2023masked,
     title = {Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds},
     author = {Hess, Georg and Jaxing, Johan and Svensson, Elias and Hagerman, David and Petersson, Christoffer and Svensson, Lennart},
     booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
     pages = {350--359},
     year = {2023},
     month = jan,
     doi = {10.1109/WACVW58289.2023.00039},
   }

3. 

   Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

   Mina Alibeigi, William Ljungbergh, Adam Tonderski, and 7 more authors

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

   DOI arXiv Bib Code Website

   @inproceedings{zod2023,
     author = {Alibeigi, Mina and Ljungbergh, William and Tonderski, Adam and Hess, Georg and Lilja, Adam and Lindstr{\"o}m, Carl and Motorniuk, Daria and Fu, Junsheng and Widahl, Jenny and Petersson, Christoffer},
     title = {Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving},
     year = {2023},
     month = may,
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     pages = {20178--20188},
     doi = {10.1109/ICCV51070.2023.01846},
   }

4. 

   Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing

   Juliano Pinto, Georg Hess, Yuxuan Xia, and 2 more authors

   arXiv preprint arXiv:2312.17261, 2023

   arXiv Bib

   @article{pinto2023transformer,
     title = {Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing},
     author = {Pinto, Juliano and Hess, Georg and Xia, Yuxuan and Wymeersch, Henk and Svensson, Lennart},
     journal = {arXiv preprint arXiv:2312.17261},
     year = {2023},
   }

2022

1. 

   Object Detection as Probabilistic Set Prediction

   Georg Hess, Christoffer Petersson, and Lennart Svensson

   In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part X, Oct 2022

   DOI arXiv Bib Code Website

   @inproceedings{hess2022object,
     title = {Object Detection as Probabilistic Set Prediction},
     author = {Hess, Georg and Petersson, Christoffer and Svensson, Lennart},
     booktitle = {Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part X},
     pages = {550--566},
     year = {2022},
     month = oct,
     organization = {Springer},
     doi = {https://doi.org/10.1007/978-3-031-20080-9_32},
   }

2021

1. 

   Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning

   Juliano Pinto, Georg Hess, William Ljungbergh, and 3 more authors

   In 2021 IEEE 24th International Conference on Information Fusion (FUSION), Sep 2021

   Best Student Paper DOI arXiv Bib Code

   Best Student Paper Award at FUSION 2021

   @inproceedings{pinto2021next,
     title = {Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning},
     author = {Pinto, Juliano and Hess, Georg and Ljungbergh, William and Xia, Yuxuan and Svensson, Lennart and Wymeersch, Henk},
     booktitle = {2021 IEEE 24th International Conference on Information Fusion (FUSION)},
     pages = {1--8},
     year = {2021},
     month = sep,
     organization = {IEEE},
     doi = {10.23919/FUSION49465.2021.9626990},
   }

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

   Jonas Berlin, Georg Hess, Anton Karlsson, and 4 more authors

   In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Aug 2021

   DOI Bib

   @inproceedings{berlin2021trajectory,
     title = {Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control},
     author = {Berlin, Jonas and Hess, Georg and Karlsson, Anton and Ljungbergh, William and Zhang, Ze and G{\"o}tvall, Per-Lage and {\AA}kesson, Knut},
     booktitle = {2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)},
     pages = {942-947},
     year = {2021},
     month = aug,
     doi = {10.1109/CASE49439.2021.9551644},
   }