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

    57 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. (C) 2008 Elsevier B.V. All rights reserved.

    Original languageEnglish
    Pages (from-to)294-301
    Number of pages8
    JournalAutomation in Construction
    Volume18
    Issue number3
    DOIs
    Publication statusPublished - Jan 2009

    Keywords

    • Progress measurement
    • Computer vision
    • Work breakdown structure (WBS)
    • PERFORMANCE CONTROL
    • INTEGRATED COST
    • DATA-COLLECTION
    • SCHEDULE

    Cite this

    Zhang, X., Bakis, N., Lukins, T. C., Ibrahim, Y. M., Wu, S., Kagioglou, M., Aouad, G., Kaka, A. P., & Trucco, E. (2009). Automating progress measurement of construction projects. Automation in Construction, 18(3), 294-301. https://doi.org/10.1016/j.autcon.2008.09.004