Engineering· 2019Q1· Review
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
- 1,126citations
- Q1SCImago
- 2019year
Short summary
Computer vision, remote cameras, and UAVs enable non-contact inspection and monitoring of civil infrastructure, automatically converting image data into actionable information for condition assessment.
AI-generated from the title and abstract; the full text is not read.
Key points
- Computer vision, remote cameras, and UAVs provide non-contact solutions for civil infrastructure assessment.
- Research is classified into inspection (component identification, damage characterization, change detection) and monitoring (strain/displacement measurement, modal analysis).
- The ultimate goal is to automatically convert image/video data into actionable information.
- Key challenges and ongoing work towards automated vision-based monitoring are presented.
AI-generated from the title and abstract; the full text is not read.
Abstract
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system is to automatically and robustly convert the image or video data into actionable information. This paper provides an overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment. In particular, relevant research in the fields of computer vision, machine learning, and structural engineering is presented. The work reviewed is classified into two types: inspection applications and monitoring applications. The inspection applications reviewed include identifying context such as structural components, characterizing local and global visible damage, and detecting changes from a reference image. The monitoring applications discussed include static measurement of strain and displacement, as well as dynamic measurement of displacement for modal analysis. Subsequently, some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented. The paper concludes with ongoing work aimed at addressing some of these stated challenges.
The authors' abstract, as published at the source. Engineering, 2019 · DOI ↗
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Field: Civil and Structural Engineering
Civil and Structural EngineeringEngineering