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Computer vision applications in offsite construction

delete2023-10-01
delete20
PRE
AI
F
Fatima Alsakka *
S
Sena Assaf
I
Ibrahim El-chami
M
Mohamed Al‐Hussein
DOI:10.1016/j.autcon.2023.104980delete
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摘要

摘要

En 中文
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.
Keyword:
Scoping review
Offsite construction
Artificial intelligence
Computer vision
Custom vision
Object detection
Object tracking
Edge detection
Feature extraction
3D reconstruction
Segmentation

期刊

Automation in Construction 封面图
Automation in Construction
IF:
11.5
论文数:
6.3K
被引数:
4.2W

机构

U
university of alberta
学者数:
5.1W
论文数: 4.9W
被引数: 65
U
University of British Columbia
学者数:
7.0W
论文数: 6.1W
被引数: 8.6W
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