M. Sc.
Wissenschaftlicher Mitarbeiter
Raum:
IC 6/71
Tel.: 0234 32 -
21573
ORC-ID:
0000-0002-8685-436X
E-Mail
Governmental institutions and economic players have huge archives of old building drawings at their disposal. Digitizing these paper drawings would strongly benefit the maintenance and operation of the respective buildings. However, there is no end-to-end method to automatically digitize these drawings in their entirety. Therefore, my research addresses the gaps in automatic drawing digitization. This includes extracting text information, determining the geometry of objects, and recognizing symbols in scanned drawings. Since these tasks are complex and require a profound understanding of the drawing's structure, I use deep learning based-algorithms to tackle the digitization task.
Bachelor
Master