Our next digital AI developers’ working group will take place on 1 December 2025!
Topic: Towards automated support for bridge inspections: uncertainty-aware mapping of damage



A large proportion of Germany’s bridge stock dates from the 1970s and is reaching the end of its design life. This makes regular, proactive inspections essential. In particular, increasingly labour-intensive conventional methods are being supplemented by drone imagery. The project presented here is a collaboration between the Chair of Computer Science in Civil Engineering – Ruhr University Bochum, the Chair of Control Engineering and System Theory – Ruhr University Bochum, and the Chair of Artificial Intelligence and Formal Methods, where AI-based approaches are being developed to enable autonomous bridge damage detection under conditions of uncertainty, particularly in areas that are difficult to access and lack GPS reception. About the speaker:
Dr Marcel Neuhausen is a member of the Chair of Artificial Intelligence and Formal Methods (Prof. Dr Nils Jansen, Ruhr University Bochum), with the aim ofenhancing the safety and reliability of AI methods. His research focuses on decision-making under uncertainty – particularly in the context of visual data. He previously completed a PhD at the Chair of Computer Science in Civil Engineering on computer vision methods to support the construction industry and subsequently worked as a machine learning engineer at ViSenSys before returning to the RUB as a postdoc.
We look forward to some inspiring ideas and lively discussion!




