Ögretmen, L.; Chen, M.; Pitschi, P.; Lohmann, B.: Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios. IEEE International Conference on Intelligent Transportation Systems (ITSC) [27´th], IEEE, 2024 more…BibTeX
Ögretmen, L.; Rowold, M.; Langmann, A.; Lohmann, B.: Sampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks. IEEE Intelligent Vehicles Symposium (IV), IEEE, 2024, pp. 2064-2069 more…BibTeX
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2023
Journal Articles
Betz, J.; Betz, T.; Fent, F.; Geisslinger, M.; Heilmeier, A.; Hermansdorfer, L.; Herrmann, T.; Huch, S.; Karle, P.; Lienkamp, M.; Lohmann, B.; Nobis, F.; Ögretmen, L.; Rowold, M.; Sauerbeck, F.; Stahl, T.; Trauth, R.; Werner, F.; Wischnewski, A.: TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. Journal of Field Robotics, 2023, pp. 1-27 more…BibTeX
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Ögretmen, L.; Rowold, M.; Betz, T.; Langmann, A.; Lohmann, B.: A Hybrid Trajectory Planning Approach for Autonomous Rule-Compliant Multi-Vehicle Oval Racing. SAE International Journal of Connected and Automated Vehicles 7(1) (12-07-01-0007), 2023 more…BibTeX
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Conference Papers / Poster
Rowold, M.; Ögretmen, L.; Kasolowsky, U.; Lohmann, B.: Online Time-Optimal Trajectory Planning on Three-Dimensional Race Tracks. IEEE Intelligent Vehicles Symposium (IV) [34th], IEEE Xplore, 2023, pp. 1-8 more…BibTeX
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2022
Journal Articles
Rowold, M.; Ögretmen, L.; Kerbl, T.; Lohmann, B.: Efficient Spatiotemporal Graph Search for Local Trajectory Planning on Oval Race Tracks. Actuators (Vol. 11, Issue 11, Article number 319), 2022 more…BibTeX
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Ögretmen, L.; Rowold, M.; Ochsenius, M.; Lohmann, B.: Smooth Trajectory Planning at the Handling Limits for Oval Racing. Actuators (Vol. 11, Issue 11, Article number 318), 2022 more…BibTeX
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