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Adam Tonderski
Adam Tonderski
Lund University, Zenseact
Verified email at math.lth.se
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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
502023
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
172024
Lidarclip or: How i learned to talk to point clouds
G Hess, A Tonderski, C Petersson, K Åström, L Svensson
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
122024
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Åström, ...
arXiv preprint arXiv:2404.07762, 2024
42024
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
EL Calvo, B Taveira, F Kahl, N Gustafsson, J Larsson, A Tonderski
arXiv preprint arXiv:2312.17260, 2023
12023
System and method for federated learning of self-supervised networks in automated driving systems
M Gyllenhammar, A Tonderski
US Patent App. 18/182,629, 2023
12023
You can have your ensemble and run it too-Deep Ensembles Spread Over Time
I Meding, A Bodin, A Tonderski, J Johnander, C Petersson, L Svensson
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Method for performing a perception task of an electronic device or a vehicle using a plurality of neural networks
A Tonderski, J Johnander, C Petersson
US Patent App. 18/511,233, 2024
2024
Method and system for in-vehicle self-supervised training of perception functions for an automated driving system
M Gyllenhammar, A Tonderski
US Patent App. 18/452,045, 2024
2024
Method and system for in-vehicle self-supervised training of perception functions for an automated driving system
M Gyllenhammar, A Tonderski
US Patent App. 18/348,590, 2024
2024
Future Object Detection with Spatiotemporal Transformers
A Tonderski, J Johnander, C Petersson, K Åström
arXiv preprint arXiv:2204.10321, 2022
2022
Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture
J Berntsson, A Tonderski
2019
Generating Compelling Procedural 3D Environments and Landscapes
O Blomqvist, P Kraft, H Lidin, R Motzheim, A Tonderski, G Wagner
2016
Neural Rendering for Safety-critical Autonomous Driving Simulation
W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Aström, ...
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