| Automotive radar dataset for deep learning based 3d object detection M Meyer, G Kuschk 2019 16th european radar conference (EuRAD), 129-132, 2019 | 216 | 2019 |
| Deep learning based 3d object detection for automotive radar and camera M Meyer, G Kuschk 2019 16th European Radar Conference (EuRAD), 133-136, 2019 | 135 | 2019 |
| Graph convolutional networks for 3d object detection on radar data M Meyer, G Kuschk, S Tomforde Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
| Complex-valued convolutional neural networks for automotive scene classification based on range-beam-doppler tensors M Meyer, G Kuschk, S Tomforde 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 9 | 2020 |
| Automotive object detection on highly compressed range-beam-doppler radar data M Meyer, S Nekkah, G Kuschk, S Tomforde 2022 19th European Radar Conference (EuRAD), 141-144, 2022 | 2 | 2022 |
| Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection M Meyer, M Unzueta, G Kuschk, S Tomforde European Conference on Computer Vision, 697-708, 2022 | | 2022 |
Sven TomfordeUniversität Kiel, Intelligent Systems在 informatik.uni-kiel.de 的电子邮件经过验证
Sven TomfordeUniversität Kiel, Intelligent Systems在 informatik.uni-kiel.de 的电子邮件经过验证
Sherif NekkahEngineer在 tum.de 的电子邮件经过验证
