The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are develo** software and hardware for …

In this letter, we present a learning-based control approach for autonomous racing with an
application to the AMZ Driverless race car gotthard. One major issue in autonomous racing …

For decades, motorsport has been an incubator for innovations in the automotive sector and
brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such …

Autonomous vehicle racing has emerged as vibrant, innovative technology development,
demonstration platform in recent years. Universities, companies demonstrate their …

Professional race-car drivers can execute extreme overtaking maneuvers. However, existing
algorithms for autonomous overtaking either rely on simplified assumptions about the …

Motorsport has always been an enabler for technological advancement, and the same
applies to the autonomous driving industry. The team TUM Autonomous Motorsports will …

This paper shows the planning of time-optimal trajectories, which allows an autonomous
race car to drive at the handling limits, taking into account locally changing road friction …

Trajectory planning at high velocities and at the handling limits is a challenging task. In order
to cope with the requirements of a race scenario, we propose a far-sighted two step, multi …

Optimization problems for trajectory planning in autonomous vehicle racing are
characterized by their nonlinearity and nonconvexity. Instead of solving these optimization …

Autonomous racing in robotics combines high‐speed dynamics with the necessity for
reliability and real‐time decision‐making. While such racing pushes software and hardware …