A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
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- Authors
- Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., & Fieguth, P.
- Affiliations
- University of Nottingham (GB)
- Ruhr University Bochum (DE)
- Carnegie Mellon University (US)
- University of Waterloo (CA)
- Corresponding author
- Koch, Christian
- Venue
- Advanced Engineering Informatics
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 29
- Issue
- 2
- Pages
- 196-210
- ISSN
- 1474-0346 (ISSN-L)
- OpenAlex
- W2128880484
- Cited by
- 1,065
- References
- 107
- Citations by year
- 2026: 126 · 2025: 113 · 2024: 139 · 2023: 112 · 2022: 132 · 2021: 121 · 2020: 104 · 2019: 95 · 2018: 68 · 2017: 35 · 2016: 17 · 2015: 3
- FWCI
- 67.81
- Type
- journal article
- Language
- en
- Update notices
- erratum (2016-04-01)
- Open access
- green
- doi.org
- Licence
- Locations
- Advanced Engineering Informatics (publishedVersion)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by-nc-nd)
- Nottingham ePrints (University of Nottingham) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Civil and Structural Engineering › Civil and Structural Engineering Research
- Keywords
- computer vision, defect detection, condition assessment, concrete infrastructure, asphalt pavement, reinforced concrete bridges, visual inspection, infrastructure safety
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