| 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 | 46 | 2023 |
| 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 | 13 | 2024 |
| 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 | 10 | 2024 |
| 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 | 2 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 |
| 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 | | 2023 |
| 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, ... | | |
Christoffer PeterssonZenseact AB, and Adjunct Associate Professor at Chalmers University of Technology在 zenseact.com 的电子邮件经过验证
