M.Sc. Etienne Bührle

  • 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

Johannes Fischer, Etienne Bührle, Christoph Stiller. Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios. In 2023 IEEE Intelligent Vehicles Symposium (IV), Seiten 1--8, Anchorage, United States, June 2023. [ DOI ]

Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel J. Kochenderfer. SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. In 2023 IEEE International Conference on Robotics and Automation (ICRA), Seiten 1530--1536, May 2023. [ DOI ]

Johannes Fischer, Etienne Bührle, Danial Kamran, Christoph Stiller. Guiding Belief Space Planning with Learned Models for Interactive Merging. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seiten 2542--2549, Macau, China, October 2022. [ DOI ]

Etienne Bührle, Florian Köpf, Jairo Inga, Sören Hohmann. Adaptive Optimal Trajectory Tracking Control of Continuous-Time Systems. In 19th European Control Conference (ECC 2021), Rotterdam, Netherlands, June 29 - July 2, 2021. [ http ]