Head-to-Head autonomous racing at the limits of handling in the A2RL challenge
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911434410033152 |
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| author | Hoffmann, Simon Sagmeister, Simon Betz, Tobias Bongard, Joscha Büttner, Sascha Ebner, Dominic Esser, Daniel Jank, Georg Goblirsch, Sven Langmann, Alexander Leitenstern, Maximilian Ögretmen, Levent Pitschi, Phillip Schwehn, Ann-Kathrin Schröder, Cornelius Weinmann, Marcel Werner, Frederik Lohmann, Boris Betz, Johannes Lienkamp, Markus |
| author_facet | Hoffmann, Simon Sagmeister, Simon Betz, Tobias Bongard, Joscha Büttner, Sascha Ebner, Dominic Esser, Daniel Jank, Georg Goblirsch, Sven Langmann, Alexander Leitenstern, Maximilian Ögretmen, Levent Pitschi, Phillip Schwehn, Ann-Kathrin Schröder, Cornelius Weinmann, Marcel Werner, Frederik Lohmann, Boris Betz, Johannes Lienkamp, Markus |
| contents | Autonomous racing presents a complex challenge involving multi-agent interactions between vehicles operating at the limit of performance and dynamics. As such, it provides a valuable research and testing environment for advancing autonomous driving technology and improving road safety. This article presents the algorithms and deployment strategies developed by the TUM Autonomous Motorsport team for the inaugural Abu Dhabi Autonomous Racing League (A2RL). We showcase how our software emulates human driving behavior, pushing the limits of vehicle handling and multi-vehicle interactions to win the A2RL. Finally, we highlight the key enablers of our success and share our most significant learnings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_08571 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Head-to-Head autonomous racing at the limits of handling in the A2RL challenge Hoffmann, Simon Sagmeister, Simon Betz, Tobias Bongard, Joscha Büttner, Sascha Ebner, Dominic Esser, Daniel Jank, Georg Goblirsch, Sven Langmann, Alexander Leitenstern, Maximilian Ögretmen, Levent Pitschi, Phillip Schwehn, Ann-Kathrin Schröder, Cornelius Weinmann, Marcel Werner, Frederik Lohmann, Boris Betz, Johannes Lienkamp, Markus Robotics Autonomous racing presents a complex challenge involving multi-agent interactions between vehicles operating at the limit of performance and dynamics. As such, it provides a valuable research and testing environment for advancing autonomous driving technology and improving road safety. This article presents the algorithms and deployment strategies developed by the TUM Autonomous Motorsport team for the inaugural Abu Dhabi Autonomous Racing League (A2RL). We showcase how our software emulates human driving behavior, pushing the limits of vehicle handling and multi-vehicle interactions to win the A2RL. Finally, we highlight the key enablers of our success and share our most significant learnings. |
| title | Head-to-Head autonomous racing at the limits of handling in the A2RL challenge |
| topic | Robotics |
| url | https://arxiv.org/abs/2602.08571 |