Automating progress measurement of construction projects

Xiaonan Zhang, Nick Bakis, Timothy C. Lukins, Yahaya M. Ibrahim, Song Wu, Mike Kagioglou, Ghassan Aouad, Ammar P. Kaka, Emanuele Trucco

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

The accurate and up to date measurement of work in progress on construction sites is vital for project management functions like schedule and cost control. Currently, it takes place using traditional building surveying techniques and visual inspections. The usually monthly measurements are error prone and not frequent enough for reliable and effective project controls. This paper explores the potential of using computer vision technology in assisting the project management task. In particular, it examines the development of an integrated building information system that aims to determine the progress of construction from digital images captured on site in order to semi-automate the work in progress measurement and calculation of interim payments as well as function as an early warning system of potential delays. The study focuses on the quantity rather than quality aspect of work and is limited to the superstructure of buildings.

Original languageEnglish
Pages (from-to)294-301
Number of pages8
JournalAutomation in Construction
Volume18
Issue number3
Early online date29 Oct 2008
DOIs
Publication statusPublished - 1 May 2009
Externally publishedYes

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