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For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle’s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance—or even replace—the classical radar signal processing chain, are develop...
Autonomous driving is one of the key disciplines in the automotive field and currently under intensive development, especially with the objective of saving more people’s lives on the roads due to significant reductions in the number of traffic accidents. Therefore, the software components within a...
Die Erkennung von Fahrerintentionen in Bezug auf bevorstehende Fahrmanöver ermöglicht eine sichere und intuitive Auslegung von Fahrerassistenz und Fahrzeugautomatisierung. Die vorliegende Arbeit stellt das verhaltensbasierte "Jordan-Modell der Fahrmanöverintention" vor und erläutert wie dieses a...
Approximately 3700 people die in traffic accidents each day. The mostfrequent cause of accidents is human error. Autonomous driving can significantly reduce thenumber of traffic accidents. To prepare autonomous vehicles for road traffic, the software andsystem components must be thoroughly validated...