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Intelligent systems are characterized by learning processes that allow the acquisition of new skills and deal with a large amount of heterogeneous, uncertain and probabilistic data. Due to the complexity of the real-world situations represented by them, the automatic abstraction of information from data, the formation of appropriate representative models, and the semantic processing of existing information is essential to build intelligent systems for digital transformation, such as mobility To enable industry, medicine and education.

Projekte

UMA - Urban Mobility Assist

Smart cities need data-driven concepts for effective and sustainable management of everyday tasks

WildCap

 WildCap strives for a system to capture every possible 3d motion with mobile and moving cameras.

World-Scale Completion of Geographic Knowledge