Advanced Engineering Informatics· 2015Q1· Review
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
- 1,010citations
- Q1SCImago
- 2015year
Short summary
Computer vision methods for inspecting civil infrastructure (bridges, tunnels, pipes, pavements) have exponentially increased, with this review synthesizing the state-of-the-art in defect detection and condition assessment for concrete and asphalt structures.
AI-generated from the title and abstract; the full text is not read.
Key points
- Computer vision methods for civil infrastructure inspection are rapidly increasing.
- The review covers defect detection and condition assessment for concrete and asphalt structures.
- Specific infrastructure types include bridges, tunnels, pipes, and pavements.
- Current achievements, limitations, and future research challenges are outlined.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Advanced Engineering Informatics, 2015 · DOI ↗
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Field: Civil and Structural Engineering
Civil and Structural EngineeringEngineering