Professorship for Computer Engineering

Organisational unit: Professoship

Main research areas

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.

  1. Published

    Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components: Universal Access in Human-Computer Interaction

    Welge, R., Faasch, H. & Bollow, E., 2009, Universal access inhuman-computer interaction: Intelligent and Ubiquitous Interaction Environments - 5th International Conference, UAHCI 2009 - Held as Part of HCI International 2009, Proceedings. Stephanidis, C. (ed.). 2 ed. Springer, Vol. 5615. p. 258-266 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5615 LNCS, no. PART 2).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Published

    Inkrementeller entwurf verteilter, eingebetteter systeme mit VISTA

    Krisp, H., Eilers, S., Müller-Schloer, C. & Welge, R., 2001, In: ITG-Fachbericht. 168, p. 145 1 p.

    Research output: Journal contributionsConference abstract in journalResearchpeer-review

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