A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Computer vision applications in offsite construction
Abstract The field of computer vision has undergone rapid growth in recent years, yet the use of computer vision in offsite construction remains an under-researched area of study. Given the current momentum around the adoption of this technology, this article presents a scoping review of computer vision applications in offsite construction. It provides (1) summaries of and discussions on the research areas in which computer vision is used in offsite construction, the computer vision tasks undertaken, the algorithms used, and related performance evaluation results and limitations, (2) a tabulated summary of performance-related terms commonly used in computer vision applications (to facilitate understanding of the performance evaluation results reported in the review), and (3) potential avenues of future research. The review provides a useful point of reference for practitioners and researchers in the offsite construction industry, aiding their understanding of current practice, limitations, research gaps, and potential opportunities to apply computer vision.
Graphical abstract Display Omitted
Highlights Computer vision applications in offsite construction are under-researched Common applications are progress monitoring and quality assurance and control Ergonomics, process guidance, safety, and management applications are limited Faster R-CNN, Canny edge detector and Mask R-CNN are most frequently used Illumination issues and occlusions are the most frequently reported limitations
Computer vision applications in offsite construction
Abstract The field of computer vision has undergone rapid growth in recent years, yet the use of computer vision in offsite construction remains an under-researched area of study. Given the current momentum around the adoption of this technology, this article presents a scoping review of computer vision applications in offsite construction. It provides (1) summaries of and discussions on the research areas in which computer vision is used in offsite construction, the computer vision tasks undertaken, the algorithms used, and related performance evaluation results and limitations, (2) a tabulated summary of performance-related terms commonly used in computer vision applications (to facilitate understanding of the performance evaluation results reported in the review), and (3) potential avenues of future research. The review provides a useful point of reference for practitioners and researchers in the offsite construction industry, aiding their understanding of current practice, limitations, research gaps, and potential opportunities to apply computer vision.
Graphical abstract Display Omitted
Highlights Computer vision applications in offsite construction are under-researched Common applications are progress monitoring and quality assurance and control Ergonomics, process guidance, safety, and management applications are limited Faster R-CNN, Canny edge detector and Mask R-CNN are most frequently used Illumination issues and occlusions are the most frequently reported limitations
Computer vision applications in offsite construction
Alsakka, Fatima (author) / Assaf, Sena (author) / El-Chami, Ibrahim (author) / Al-Hussein, Mohamed (author)
2023-06-07
Article (Journal)
Electronic Resource
English
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