A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

Koch, Christian and Georgieva, Kristina and Kasireddy, Varun and Akinci, Burcu and Fieguth, Paul (2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Advanced Engineering Informatics, 29 (2). pp. 196-210. ISSN 1474-0346

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Abstract

To ensure the safety and the serviceability of civil infrastructure it is essential to visually inspect and assess its physical and functional condition. This review paper presents the current state of practice of assessing the visual condition of vertical and horizontal civil infrastructure; in particular of reinforced concrete bridges, precast concrete tunnels, underground concrete pipes, and asphalt pavements. Since the rate of creation and deployment of computer vision methods for civil engineering applications has been exponentially increasing, the main part of the paper presents a comprehensive synthesis of the state of the art in computer vision based defect detection and condition assessment related to concrete and asphalt civil infrastructure. Finally, the current achievements and limitations of existing methods as well as open research challenges are outlined to assist both the civil engineering and the computer science research community in setting an agenda for future research.

Item Type: Article
Keywords: Computer Vision, Infrastructure, Condition Assessment, Defect Detection, Infrastructure Monitoring
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Civil Engineering
Identification Number: https://doi.org/10.1016/j.aei.2015.01.008
Depositing User: Eprints, Support
Date Deposited: 26 Feb 2016 11:38
Last Modified: 14 Sep 2016 13:01
URI: http://eprints.nottingham.ac.uk/id/eprint/31986

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