Kevin Rösch
Cited by
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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
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
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
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
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
PITA: Physics-Informed Trajectory Autoencoder
J Fischer, K Rösch, M Lauer, C Stiller
arXiv preprint arXiv:2403.11728, 2024
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