CUED Publications database

Detection of large-scale concrete columns for automated bridge inspection

Zhu, Z and German, S and Brilakis, I (2010) Detection of large-scale concrete columns for automated bridge inspection. Automation in Construction, 19. pp. 1047-1055. ISSN 0926-5805

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There are over 600,000 bridges in the US, and not all of them can be inspected and maintained within the specified time frame. This is because manually inspecting bridges is a time-consuming and costly task, and some state Departments of Transportation (DOT) cannot afford the essential costs and manpower. In this paper, a novel method that can detect large-scale bridge concrete columns is proposed for the purpose of eventually creating an automated bridge condition assessment system. The method employs image stitching techniques (feature detection and matching, image affine transformation and blending) to combine images containing different segments of one column into a single image. Following that, bridge columns are detected by locating their boundaries and classifying the material within each boundary in the stitched image. Preliminary test results of 114 concrete bridge columns stitched from 373 close-up, partial images of the columns indicate that the method can correctly detect 89.7% of these elements, and thus, the viability of the application of this research.

Item Type: Article
Uncontrolled Keywords: Concrete columns Automatic identification systems Images Information technology Bridge inspection
Divisions: Div D > Construction Engineering
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:00
Last Modified: 15 Apr 2021 06:50
DOI: 10.1016/j.autcon.2010.07.016