Levent Ögretmen

Field of Research

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 Full text ( DOI )
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 Full text ( DOI )

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 Full text ( DOI )

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 Full text ( DOI )
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 Full text ( DOI )

Lecture Modern Methods of Automatic Control 2 (Exercise Course, Additional Exercises and Revision Exercise)
Lecture Autonomous Driving Software Engineering (Topic: Local Planning)
Lecture Artificial Intelligence in Automotive Technology (Topic: Reinforcement Learning)
Lab course Controller Implementation on Microcontrollers

Zur Zeit gibt es keine Einträge.

Art	Title	Status / finished at
M	Reinforcement Learning for Trajectory Planning in Non-Cooperative Autonomous Racing Scenarios	01.02.2024
FP	Entwicklung eines Reinforcement Learning Ansatzes zur Interaktiven Trajektorienplanung für autonome Rennfahrzeuge	20.10.2023
M	Interactive Trajectory Planning for Autonomous Vehicles in Multi-Vehicle Race Scenarios	07.06.2023
M	Reinforcement Learning for Trajectory Planning in Non-Cooperative Autonomous Racing Scenarios	01.02.2023
S	Sampling-based Trajectory Planning in Frenet Frame for Autonomous Racing	25.10.2022
S	Formulation and Consideration of Prediction Uncertainties in Trajectory Planning for Autonomous Race Cars	01.10.2022
S	Adaption and Development of an Interactive-Aware Trajectory Planning Approach for Autonomous Race Cars using Reinforcement Learning	13.04.2022
S	Cost Design and Tuning of a Graph-based Trajectory Planner for High Speed Autonomous Racing	10.11.2021
M	Motion Planning for High-Speed Autonomous Racing in Dynamic Environments	31.07.2021
S	Heuristics to Reduce the Configuration Space of a Graph-based Local Trajectory Planner for Autonomous Racing	02.05.2021
M	Interactive trajectory planning for autonomous race cars using Reinforcement Learing	11.06.2021
S	Verleich und Implementierung von Reinforcement Learning-Ansätzen für eine interatkonsbasierte Trajektorienplanung von autonomen Fahrzeugen	14.10.2020

since 10/2019	Research Assistant at the Institute of Automatic Control, Technical University of Munich
2017 - 2019	M. Sc. in Mechanical Engineering, Technical University of Braunschweig
2013 - 2017	B. Eng. in Mechanical Engineering, Hochschule Hannover University of Applied Sciences and Arts