Vision‐based automated bridge component recognition with high‐level scene consistency

This research investigates vision‐based automated bridge component recognition, which is critical for automating visual inspection of bridges during initial response after earthquakes. Semantic segmentation algorithms with up to 45 convolutional layers are applied to recognize bridge components from...

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Veröffentlicht in:	Computer-aided civil and infrastructure engineering 2020-05, Vol.35 (5), p.465-482
Hauptverfasser:	Narazaki, Yasutaka, Hoskere, Vedhus, Hoang, Tu A., Fujino, Yozo, Sakurai, Akito, Spencer, Billie F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automation Bridge inspection Classification Configurations Consistency Image segmentation Recognition Seismic response Vision
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