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 (CASE, 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 (FUSION, 2021)

Deep Deterministic Path Following. - Georg Hess; William Ljungbergh (CoRR, 2021)

Object Detection as Probabilistic Set Prediction. - Georg Hess; Christoffer Petersson; Lennart Svensson (ECCV (10), 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)

Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (CoRR, 2022)

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 (ICCV, 2023)

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (WACV (Workshops), 2023)

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. - Juliano Pinto; Georg Hess; Yuxuan Xia; Henk Wymeersch; Lennart Svensson (CoRR, 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., 2023)

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 (CVPR Workshops, 2024)

NeuRAD: Neural Rendering for Autonomous Driving. - Adam Tonderski; Carl Lindström; Georg Hess; William Ljungbergh; Lennart Svensson; Christoffer Petersson (CVPR, 2024)

LidarCLIP or: How I Learned to Talk to Point Clouds. - Georg Hess; Adam Tonderski; Christoffer Petersson; Kalle Åström; Lennart Svensson (WACV, 2024)

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving. - Georg Hess; Carl Lindström; Maryam Fatemi; Christoffer Petersson; Lennart Svensson (CVPR, 2025)

Future-Oriented Navigation: Dynamic Obstacle Avoidance With One-Shot Energy-Based Multimodal Motion Prediction. - Ze Zhang; Georg Hess; Junjie Hu; Emmanuel Dean; Lennart Svensson; Knut Åkesson (IEEE Robotics Autom. Lett., 2025)