One basis for autonomous driving as well as for the evolution of semi-autonomous or driver guiding assistance systems towards autonomous driving are models of the environment. Based on these models, environmental information ...

The majority of research efforts in the automotive community is currently focused on alternative fuel vehicles and highly automated driving. The development of highly automated vehicles is not only promoted by Original ...

Die wachsende Bedeutung modellbasierter Verfahren bei technischen Geräten und Anlagen führt dazu, dass immer mehr Modelle für unterschiedliche Systeme benötigt werden. Um diesem Umstand gerecht zu werden, kommen in den ...

The prediction of an object’s future motion has traditionally been solved by applying kinematic or dynamic state-space models which describe the object’s motion as the evolution of its state over time. These models perform ...

Reliable vehicle environment perception is a basic prerequisite for advanced driver assistant systems and autonomously driving cars. A common environment representation form is an occupancy grid map. It divides the ...

Sensor data fusion is the key to a comprehensive environment perception by today’s and future systems basing on object tracking. Early and rather simple advanced driver assistance systems (ADAS) are still using a sensor ...

Fahrzeuglokale Perzeptionssysteme liefern die Datenbasis für aktuelle Fahrerassistenzsysteme wie zum Beispiel Adaptive Cruise Control (ACC) oder Notbremsassistenten. Für neue Anwendungen, wie die Kreuzungsassistenz, ...

In der Entwicklungsphase eines neuen Fahrzeugs muss eine Vielzahl an verschiedenen Gesamtfahrzeugtests (z. B. Dauerlauf-, Akustik-, Klimatests oder Verbrauchsmessungen) durchgeführt werden. Diese verschiedenen Fahrzeugtests ...

Multiphysics problems include various physical phenomena such as fluid flow, heat transfer or electromagnetism, to mention just a few. The mathematical description of this type of problem therefore requires a system of ...

Model predictive control (MPC) is a modern control methodology that is based on the repetitive solution of an optimal control problem (OCP) at fixed time instances. The determined state of the system at the current sampling ...