Automated Defect Detection For Masonry Arch Bridges
Author:
Affiliation:
1. Department of Engineering, University of Cambridge. Cambridge, United Kingdom
2. Department of Civil and Environmental Engineering, Berkeley University of California, Berkeley, USA
Publisher
ICE Publishing
Link
https://www.icevirtuallibrary.com/doi/pdf/10.1680/icsic.64669.003
Reference14 articles.
1. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
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