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 …

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 …

Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …

For high-level Autonomous Vehicles (AV), localization is highly security and safety critical.
One direct threat to it is GPS spoofing, but fortunately, AV systems today predominantly use …

This paper presents the algorithms and system architecture of an autonomous racecar. The
introduced vehicle is powered by a software stack designed for robustness, reliability, and …

In this paper we propose a hierarchical controller for autonomous racing where the same
vehicle model is used in a two level optimization framework for motion planning. The high …

Robots and particularly drones are especially useful in exploring extreme environments that
pose hazards to humans. To ensure safe operations in these situations, usually perceptually …

A slip-aware localization framework is proposed for mobile robots experiencing wheel slip in
dynamic environments. The framework fuses infrastructure-aided visual tracking data (via …

We present a holistically designed three layer control architecture capable of outperforming
a professional driver racing the same car. Our approach focuses on the co-design of the …

Velocity estimation plays a central role in driverless vehicles, but standard, and affordable
methods struggle to cope with extreme scenarios like aggressive maneuvers due to the …