Prof. Dr. Ing. Ralph Welge works on the design of autonomous/cognitive systems in the context of computer vision.

The field of work includes system and application architectures of autonomous/cognitive systems, their limitations as well as the description of the necessary processes. The focus is on methods that can be used to achieve autonomous and cognitive behavior.

In addition, classical machine learning methods such as Convolutional Neural Networks (CNN) and LSTM/Transformers are used to acquire the necessary information.

Last but not least, verification and qualification of such systems play a role in the context of applications such as autonomous driving.