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2020 – today
- 2024
[j2]Rainer Trauth
, Korbinian Moeller, Gerald Würsching, Johannes Betz:
FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving. IEEE Access 12: 127426-127439 (2024)- [c5]Marc Kaufeld, Rainer Trauth, Johannes Betz:
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. IV 2024: 803-810 - [c4]Korbinian Möller, Rainer Trauth, Johannes Betz:
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. IV 2024: 819-826 - [c3]Rainer Trauth, Alexander Hobmeier, Johannes Betz:
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. IV 2024: 2413-2420 - [i7]Korbinian Möller, Rainer Trauth, Gerald Würsching, Johannes Betz:
Frenetix Motion Planner: High-Performance and Modular Trajectory Planning Algorithm for Complex Autonomous Driving Scenarios. CoRR abs/2402.01443 (2024) - [i6]Rainer Trauth, Alexander Hobmeier, Johannes Betz:
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving. CoRR abs/2402.01465 (2024) - [i5]Korbinian Möller, Rainer Trauth, Johannes Betz:
Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety. CoRR abs/2402.01507 (2024) - [i4]Marc Kaufeld, Rainer Trauth, Johannes Betz:
Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. CoRR abs/2402.04720 (2024) - 2023
- [j1]Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski:
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. J. Field Robotics 40(4): 783-809 (2023) - [c2]Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz:
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. IV 2023: 1-8 - [i3]Phillip Karle, Tobias Betz, Marcin Bosk, Felix Fent, Nils Gehrke, Maximilian Geisslinger, Luis Gressenbuch, Philipp Hafemann, Sebastian Huber, Maximilian Hübner, Sebastian Huch, Gemb Kaljavesi, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, Markus Lienkamp:
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. CoRR abs/2309.15492 (2023) - 2022
- [i2]Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann:
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. CoRR abs/2202.03807 (2022) - [i1]Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski:
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge. CoRR abs/2205.15979 (2022) - 2021
- [c1]Leonhard Hermansdorfer, Rainer Trauth, Johannes Betz, Markus Lienkamp:
End-to-End Neural Network for Vehicle Dynamics Modeling. CIST 2021: 407-412
Coauthor Index
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