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Author(s):
Samaras, D.
Title:
Automated Extraction of Semantic Information from Engineering Drawings using Deep Learning
Abstract:
This master thesis proposes a deep learning method combined with a heuristics approach to automatically extract dimensions from bridge engineering drawings. It is part of the TwinGen research project, whose goal is to develop methods that automatically generate digital twins of existing infrastructure structures. The proposed solution consists of an image classification algorithm that classifies the image by type of view, then passes it to an object detection algorithm that detects the numbers o...     »
Keywords:
TwinGen;
Subject:
ALL Allgemeines
Supervisor:
Borrmann, A.; Mafipour, MS.; Vilgertshofer, S.
Year:
2021
Year / month:
2021-07
Month:
Jul
University:
Technische Universität München
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