Learning Future Object Prediction with a Spatiotemporal Detection Transformer. - Adam Tonderski; Joakim Johnander; Christoffer Petersson; Kalle Åström (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)

You can have your ensemble and run it too - Deep Ensembles Spread Over Time. - Isak Meding; Alexander Bodin; Adam Tonderski; Joakim Johnander; Christoffer Petersson; Lennart Svensson (ICCV (Workshops), 2023)

TimePillars: Temporally-Recurrent 3D LiDAR Object Detection. - Ernesto Lozano Calvo; Bernardo Taveira; Fredrik Kahl; Niklas Gustafsson; Jonathan Larsson; Adam Tonderski (CoRR, 2023)

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

NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving. - William Ljungbergh; Adam Tonderski; Joakim Johnander; Holger Caesar; Kalle Åström; Michael Felsberg; Christoffer Petersson (ECCV (30), 2024)

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

Towards Zero Bottlenecks for Scaling Autonomous Driving. - Adam Tonderski (2025)

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving. - William Ljungbergh; Adam Lilja; Adam Tonderski; Arvid Laveno Ling; Carl Lindström; Willem Verbeke; Junsheng Fu; Christoffer Petersson; Lars Hammarstrand; Michael Felsberg (CoRR, 2025)

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation. - William Ljungbergh; Bernardo Taveira; Wenzhao Zheng; Adam Tonderski; Chensheng Peng; Fredrik Kahl; Christoffer Petersson; Michael Felsberg; Kurt Keutzer; Masayoshi Tomizuka; Wei Zhan (CoRR, 2025)