Intelligent Systems and Estimation Group

It is no exaggeration to say that intelligent systems are rapidly changing the world how we know it. Particularly for image data, machine learning (ML) can handle high variability in high-dimensional data, leading to significant breakthroughs. In many commercial applications of ML, such as photo tagging and machine translation, errors can be tolerated. In contrast, applications in which flaws can have disastrous consequences, such as medical imaging and autonomous driving, have not yet been transformed by artificial intelligence.

Much research is focusing on using either machine learning or estimation. The aim of this group is to consider the bigger picture and focus on the more promising approach in the considered scenario. Further, we also consider combinations of learning-based methods and classical estimators to combine the adaptability and versatility of machine learning with the ease of modeling and low data requirements of classical estimators.


Role Project Name Funding Agency
Principal Investigator Helmholtz AI Project 2019
ULearn4Mobility Ubiquitous Spatio-Temporal Learning for Future Mobility.
In cooperation with DLR Oberpfaffenhofen.
Helmholtz Artificial Intelligence Cooperation Unit
Member of the Technical Scientific Committee and the Scientific Steering Board CC-King Competence Center Karlsruhe for AI Systems Engineering
AP 1.1 Safety of AI/ML-based Systems
In cooperation with Fraunhofer IOSB and Forschungszentrum Informatik.
Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg
Co-author of the proposal and co-leader Innovation competition "KI für KMU"
Embedded AI in a Box
In cooperation with Knowtion UG and Endiio Engineering GmbH
Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg
Project leader IGF project of the GVT e. V. 
IGF-Vorhaben Optische Schüttgutsortierer im dynamischen Einsatz. (Optical Belt Sorters for Dynamic Applications)
Bundesministerium für Wirtschaft und Klimaschutz
Researcher IGF-Vorhaben der GVT e. V.
Verbesserung optischer Schüttgutsortierung durch simulationsgestützte Entwicklung von Trackingverfahren. (Improving Belt Sorting Using Simulation-Driven Development of Tracking Algrotihms)
Bundesministerium für Wirtschaft und Klimaschutz