A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
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 par...
| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier
2015
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| Online Access: | https://eprints.nottingham.ac.uk/31986/ |
| _version_ | 1848794311553974272 |
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| author | Koch, Christian Georgieva, Kristina Kasireddy, Varun Akinci, Burcu Fieguth, Paul |
| author_facet | Koch, Christian Georgieva, Kristina Kasireddy, Varun Akinci, Burcu Fieguth, Paul |
| author_sort | Koch, Christian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:14:11Z |
| format | Article |
| id | nottingham-31986 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:14:11Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-319862020-05-04T17:03:20Z https://eprints.nottingham.ac.uk/31986/ 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 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. Elsevier 2015-04-01 Article PeerReviewed Koch, Christian, Georgieva, Kristina, Kasireddy, Varun, 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 Computer Vision Infrastructure Condition Assessment Defect Detection Infrastructure Monitoring http://www.sciencedirect.com/science/article/pii/S1474034615000208 doi:10.1016/j.aei.2015.01.008 doi:10.1016/j.aei.2015.01.008 |
| spellingShingle | Computer Vision Infrastructure Condition Assessment Defect Detection Infrastructure Monitoring Koch, Christian Georgieva, Kristina Kasireddy, Varun Akinci, Burcu Fieguth, Paul A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title | A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title_full | A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title_fullStr | A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title_full_unstemmed | A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title_short | A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| title_sort | review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure |
| topic | Computer Vision Infrastructure Condition Assessment Defect Detection Infrastructure Monitoring |
| url | https://eprints.nottingham.ac.uk/31986/ https://eprints.nottingham.ac.uk/31986/ https://eprints.nottingham.ac.uk/31986/ |