Comparison of Exact and Approximate methods for the Vehicle Routing Problem with Time Windows. - Elinor Jernheden; Carl Lindström; Rickard Persson; Max Wedenmark; Endre Erós; Sabino Francesco Roselli; Knut Åkesson (CASE, 2020)

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)

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)

SwInception - Local Attention Meets Convolutions. - David Hagerman; Roman Naeem; Jakob Lindqvist; Carl Lindström; Fredrik Kahl; Lennart Svensson (ICPRAI (1), 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)

MTGS: Multi-Traversal Gaussian Splatting. - Tianyu Li; Yihang Qiu; Zhenhua Wu; Carl Lindström; Peng Su; Matthias Nießner; Hongyang Li 001 (CoRR, 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)