M.Sc. Etienne Bührle
- Wissenschaftlicher Mitarbeiter
- Raum: 039
- Tel.: +49 721 608-46208
- etienne buehrleLuh2∂kit edu
Karlsruher Institut für Technologie (KIT)
Institut für Mess- und Regelungstechnik
Engler-Bunte-Ring 21
Gebäude 40.32
D-76131 Karlsruhe
Forschung
- Deep Learning for Motion Planning
Lehre
Akademische Dienste
- Reviewer für IEEE Intelligent Vehicles Symposium (IV) (2021)
Veröffentlichungen
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Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios
Fischer, J.; Bührle, E.; Stiller, C.
2023. 2023 IEEE Intelligent Vehicles Symposium (IV), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV55152.2023.10186618 -
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Jamgochian, A.; Buehrle, E.; Fischer, J.; Kochenderfer, M. J.
2023. 2023 IEEE International Conference on Robotics and Automation (ICRA), 29th May - 02nd June 2023, London, 1530 – 1536, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48891.2023.10161449 -
Guiding Belief Space Planning with Learned Models for Interactive Merging
Fischer, J.; Buhrle, E.; Kamran, D.; Stiller, C.
2022. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2542–2549, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC55140.2022.9922488