| Titel | BA | SA | MA | HW | exp | the | kon | Eintrag |
|---|---|---|---|---|---|---|---|---|
| TUM Autonomous Motorsports: Motion Planning für die Indy Autonomous Challenge (BA / SA / MA / ...) | 2025-11-25 | |||||||
| Autonomes Racing: Entwicklung einer interaktiven Simulationsumgebung für Trajektorienplaner | 2025-11-25 | |||||||
| Interaction-aware Motion Planning in Autonomous Racing using Game Theory | 2025-11-25 |
| alexander.langmann(at)tum.de | |
| Phone | +49 89 289 10414 |
| Room | Hochbrück 3.4.18 |
| ORCID | ORCID |
| Google Scholar | Google Scholar Profile |
| Researchgate | Researchgate Profile |
Vita
After completing my Bachelor's degree in Mechanical Engineering in Vienna, I pursued my Master's studies at TUM, where I graduated from the Robotics, Cognition, Intelligence program. During my Master's thesis, I contributed to the TUM Autonomous Motorsport Team by focusing on local trajectory planning.
Since September 2023, I have been working as a doctoral student under the supervision of Prof. Dr. Johannes Betz at the Chair of Autonomous Vehicle Systems. My research focuses on behavior and trajectory planning for autonomous vehicles, with a particular emphasis on highly dynamic scenarios. At the same time, I continue to be part of the TUM Autonomous Motorsport Team, where I lead the trajectory planning division. Our most recent success was winning the second edition of the Abu Dhabi Autonomous Racing League (A2RL).