Computer vision applications in offsite construction

被引：24
作者：
Alsakka, Fatima [1 ]
Assaf, Sena [1 ]
El-Chami, Ibrahim [2 ]
Al -Hussein, Mohamed [1 ]
机构：
[1] Univ Alberta, 9211 116 St NW, Edmonton, AB, Canada
[2] Univ British Columbia, Vancouver, BC, Canada
来源：
AUTOMATION IN CONSTRUCTION | 2023年 / 154卷
关键词：
Scoping review; Offsite construction; Artificial intelligence; Computer vision; Custom vision; Object detection; Object tracking; Edge detection; Feature extraction; 3D reconstruction; Segmentation; EQUIPMENT; SYSTEM; RECOGNITION;
D O I：
10.1016/j.autcon.2023.104980
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
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收藏
页数：20
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