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

Koch, Christian; Georgieva, Kristina; Kasireddy, Varun; Akinci, Burcu; Fieguth, Paul

Authors

Christian Koch

Kristina Georgieva

Varun Kasireddy

Burcu Akinci

Paul Fieguth



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.

Journal Article Type Article
Publication Date Apr 1, 2015
Journal Advanced Engineering Informatics
Print ISSN 1474-0346
Electronic ISSN 1474-0346
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 29
Issue 2
APA6 Citation Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., & Fieguth, P. (2015). A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Advanced Engineering Informatics, 29(2), https://doi.org/10.1016/j.aei.2015.01.008
DOI https://doi.org/10.1016/j.aei.2015.01.008
Keywords Computer Vision, Infrastructure, Condition Assessment, Defect Detection, Infrastructure Monitoring
Publisher URL http://www.sciencedirect.com/science/article/pii/S1474034615000208
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0



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