Carl Lindström

Doctoral Student at Signal Processing

More information and contact details ORCID

Publications (11)
Projects (0)

Showing 11 publications

2026

Neural Rendering for Autonomous Driving

Carl Lindström

Doctoral thesis

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2026

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving

William Ljungbergh, Adam Lilja, Adam Tonderski et al

Proceedings 2026 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2026, p. 3077-3087

Paper in proceeding

2026

IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes

Carl Lindström, Mahandokht Rafidashti, Maryam Fatemi et al

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 316-326

Paper in proceeding

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2026

GASP: Unifying Geometric and Semantic Self-Supervised Pretraining for Autonomous Driving

William Ljungbergh, Adam Lilja, Adam Tonderski et al

Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025

Paper in proceeding

2026

Scalable GPU Construction of 3D Voronoi and Power Diagrams

Bernardo Taveira, Carl Lindström, Maryam Fatemi et al

Proceedings SIGGRAPH 2026 Conference Papers

Paper in proceeding

2025

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

Georg Hess, Carl Lindström, Maryam Fatemi et al

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Paper in proceeding

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2025

SwInception - Local Attention Meets Convolutions

David Hagerman Olzon, Roman Naeem, Jakob Lindqvist et al

Lecture Notes in Computer Science. Vol. 14892 LNCS, p. 3-17

Paper in proceeding

2024

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap

Carl Lindström, Georg Hess, Adam Lilja et al

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, p. 4461-4471

Paper in proceeding

2024

NeuRAD: Neural Rendering for Autonomous Driving

Adam Tonderski, Carl Lindström, Georg Hess et al

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 14895-14904

Paper in proceeding

2023

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

Mina Alibeigi, William Ljungbergh, Adam Tonderski et al

2023 IEEE/CVF International Conference on Computer Vision, p. 20121-20131

Paper in proceeding

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2020

Comparison of Exact and Approximate methods for the Vehicle Routing Problem with Time Windows

Elinor Jernheden, Carl Lindström, Rickard Persson et al

IEEE International Conference on Automation Science and Engineering. Vol. 2020-August, p. 378-383

Paper in proceeding

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