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

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 …

Reliable detection and tracking of surrounding objects are indispensable for comprehensive
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …

Autonomous racing is a research field gaining large popularity, as it pushes autonomous
driving algorithms to their limits and serves as a catalyst for general autonomous driving. For …

Autonomous racing presents a challenging environment for testing the limits of autonomous
vehicle technology. Accurately modeling the vehicle dynamics (with all forces and tires) is …

The autonomous vehicle (AV) technology has the potential to significantly improve safety
and efficiency of the transportation and logistics industry. Full-scale AV testing is limited by …

The classical method of autonomous racing uses real-time localisation to follow a
precalculated optimal trajectory. In contrast, end-to-end deep reinforcement learning (DRL) …

Reliably predicting the motion of contestant vehicles surrounding an autonomous racecar is
crucial for effective and performant ego-motion planning. Although highly expressive, deep …

From both an educational and research point of view, experiments on hardware are a key
aspect of robotics and control. In the last decade, many open-source hardware and software …

Autonomous racing with scaled race cars has gained increasing attention as an effective
approach for developing perception, planning and control algorithms for safe autonomous …