Infrastructures, Volume 11, Issue 2
2026 February - 36 articles
Cover Story: Many bridges are in urgent need of maintenance. To make maintenance processes efficient, digital workflows can support planning and decision-making. However, for many existing structures, the required digital models are missing. We address this gap by automating a key step in the reconstruction of bridge models from drawings: the extraction of bridge cross-sections. Our end-to-end pipeline combines YOLOv8 for detection and Segment Anything for training-free segmentation. Based on the extracted segmentation masks, global optimization is performed to fit parametric templates and recover geometric parameters. Eliminating manual mask annotation and enabling adaptation to diverse cross-section types bring us one step closer to scalable reconstruction of digital bridge models for BIM and Digital Twin applications. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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