| An application-driven conceptualization of corner cases for perception in highly automated driving F Heidecker, J Breitenstein, K Rösch, J Löhdefink, M Bieshaar, C Stiller, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 644-651, 2021 | 39 | 2021 |
| 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 | 8 | 2023 |
| Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving K Rösch, F Heidecker, J Truetsch, K Kowol, C Schicktanz, M Bieshaare, ... 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 86-93, 2022 | 6 | 2022 |
| Fast and Robust Ground Surface Estimation from LiDAR Measurements using Uniform B-Splines S Wirges, K Rösch, F Bieder, C Stiller 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-7, 2021 | 5 | 2021 |
| Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems H Reichert, L Lang, K Rösch, D Bogdoll, K Doll, B Sick, HC Rellss, ... 2021 IEEE International Smart Cities Conference (ISC2), 1-4, 2021 | 4 | 2021 |
| PITA: Physics-Informed Trajectory Autoencoder J Fischer, K Rösch, M Lauer, C Stiller arXiv preprint arXiv:2403.11728, 2024 | | 2024 |
Maarten BieshaarRobert Bosch GmbHVerified email at de.bosch.com
