Artificial intelligence is the key technology for mobility concepts of the future. Tomorrow's mobility will be characterized by vehicles and infrastructure with ever higher levels of automation and networking, as well as learning systems that increase traffic safety and optimize traffic flows. Context-sensitive, multimodal interfaces and intelligent sensor systems for interaction between vehicles and their occupants or with the environment, as well as communication, control and analysis systems for elementary data flows and their safety, are just as important for this.


Project Demonstration

Generierung von Vorwissen mit Hilfe lernender Systeme zur 4D-Analyse komplexer Szenen


Artificial intelligence currently influences many areas, including machine vision. For applications in the fields of autonomous systems, medicine and industry there are fundamental...

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Autonomous Driving: Modeling, learning and simulation environment for pedestrian behavior in critical traffic situations

REACT is considered to be a strategically important project for the ASR department; the content is also a core topic in the Autonomous Driving Competence Center (CCAD). The overall goal of REACT is a...

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