Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
University of Illinois Urbana-Champaign
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…
Citation impact
- FWCI
- 79.26
- Percentile
- 100%
- References
- 261
Authors
3Topics & keywords
- Computer science
- Context (archaeology)
- Work (physics)
- Modal
- Key (lock)
- Artificial intelligence
- Systems engineering
- Engineering
- Industry, innovation and infrastructure