| Pointatme: efficient 3d point cloud labeling in virtual reality F Wirth, J Quehl, J Ota, C Stiller 2019 IEEE Intelligent Vehicles Symposium (IV), 1693-1698, 2019 | 50 | 2019 |
| Driving like a human: Imitation learning for path planning using convolutional neural networks E Rehder, J Quehl, C Stiller International Conference on Robotics and Automation Workshops, 1-5, 2017 | 40 | 2017 |
| How good is my prediction? Finding a similarity measure for trajectory prediction evaluation J Quehl, H Hu, ÖŞ Taş, E Rehder, M Lauer 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 31 | 2017 |
| An approach to vehicle trajectory prediction using automatically generated traffic maps J Quehl, H Hu, S Wirges, M Lauer 2018 IEEE Intelligent Vehicles Symposium (IV), 544-549, 2018 | 17 | 2018 |
| LDFA: Latent Diffusion Face Anonymization for Self-driving Applications M Klemp, K Rösch, R Wagner, J Quehl, M Lauer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| High definition mapping using lidar traced trajectories S Busch, J Quehl, C Brenner 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in …, 2018 | 4 | 2018 |
| Estimating Object Shape and Movement Using Local Occupancy Grid Maps J Quehl, S Yan, S Wirges, JH Pauls, M Lauer IFAC-PapersOnLine 52 (8), 87 - 92, 2019 | 2 | 2019 |
Martin LauerKarlsruhe Institute of Technology在 kit.edu 的电子邮件经过验证
