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Carl Lindström
Carl Lindström
PhD student, Chalmers University of Technology
Verified email at chalmers.se
Title
Cited by
Cited by
Year
Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving
M Alibeigi, W Ljungbergh, A Tonderski, G Hess, A Lilja, C Lindström, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
552023
Neurad: Neural rendering for autonomous driving
A Tonderski, C Lindström, G Hess, W Ljungbergh, L Svensson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
212024
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
C Lindström, G Hess, A Lilja, M Fatemi, L Hammarstrand, C Petersson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
22024
Comparison of exact and approximate methods for the vehicle routing problem with time windows
E Jernheden, C Lindström, R Persson, M Wedenmark, E Erős, SF Roselli, ...
2020 IEEE 16th International Conference on Automation Science and …, 2020
12020
Data driven lane marker filtering
J Karlsson, C Lindström
2020
Utveckling av elektronisk styrning och nödstopp
E Campara, F Fransson, J Karlsson, C Lindström, W Ljungbergh, ...
2018
SwInception-Local Attention Meets Convolutions
D Hagerman, R Naeem, J Lindqvist, C Lindström, F Kahl, L Svensson
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