M. Sc.
Research Assistant
Room:
IC 6/69
Phone: +49 234 32 -
28983
E-Mail
Engineers regularly inspect bridges for damage to ensure their structural stability and traffic safety. However, the manual process for documenting damage is often error-prone and inconsistent, particularly in terms of measurement, description, and evaluation. Therefore, my research focuses on developing an image-based machine learning pipeline that automates on-site damage documentation. This pipeline includes damage recognition, description and evaluation, with the goal of improving accuracy, consistency, and efficiency.
Bachelor
Master