Mapping computer vision research in construction: Developments, knowledge gaps and implications for research

B. Zhong, Haitao Wu, Lieyun Ding, Peter E.D. Love, Heng Li, Hanbin Luo, Li Jiao

Research output: Journal article publicationReview articleAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Computer vision is transforming processes associated with the engineering and management of construction projects. It can enable the acquisition, processing, analysis of digital images, and the extraction of high-dimensional data from the real world to produce information to improve managerial decision-making. To acquire an understanding of the developments and applications of computer vision research within the field of construction, we performed a detailed bibliometric and scientometric analysis of the normative literature from 2000 to 2018. We identified the primary areas where computer vision has been applied, including defect inspection, safety monitoring, and performance analysis. By performing a mapping exercise, a detailed analysis of the computer vision literature enables the identification of gaps in knowledge, which provides a platform to support future research in this fertile area for construction.

Original languageEnglish
Article number102919
JournalAutomation in Construction
Volume107
DOIs
Publication statusPublished - Nov 2019

Keywords

  • Computer vision
  • Construction
  • Review
  • Science mapping

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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