10–14 Jun 2025
University of Stavanger
Europe/Oslo timezone

Automated 3D Bridge Modeling from Non-Layered Drawings Using Transformer-Based Deep Learning

Not scheduled
20m
University of Stavanger

University of Stavanger

Oral presentation

Speaker

Mr Keitaro Taniguchi (National Institute of Technology, Tokuyama College)

Description

The efficiency and sophistication of maintenance are expected to improve through the use of 3D models that organize damage conditions and locations. For bridges, research has focused on using 3D models constructed with technologies like SfM/MVS, though challenges such as high data collection costs and time requirements persist. This study proposes a methodology for automating 3D model construction by extracting dimensions from blueprint images using a Transformer-based object detection model and OCR. Applied to actual bridge drawings, the method successfully constructed accurate 3D models. Further development of this approach into a practical application could enable accessible, user-friendly 3D model construction.

Primary author

Mr Keitaro Taniguchi (National Institute of Technology, Tokuyama College)

Co-author

Dr Tatsuro Yamane (National Institute of Technology, Tokuyama College)

Presentation materials

There are no materials yet.

Peer reviewing

Paper

Paper files: