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.

翻译：自主赛车提出了一个复杂的挑战，涉及在性能和动力学极限下运行的车辆之间的多智能体交互。因此，它为推进自动驾驶技术和提高道路安全提供了一个宝贵的研究和测试环境。本文介绍了TUM Autonomous Motorsport团队为首届阿布扎比自主赛车联盟（A2RL）开发的算法与部署策略。我们展示了我们的软件如何模拟人类驾驶行为，通过将车辆操控和多车交互推向极限来赢得A2RL比赛。最后，我们重点阐述了成功的关键促成因素，并分享了最重要的经验教训。