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

doi:10.1016/j.autcon.2008.09.004

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 journal › Article › peer-review

94 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 language	English
Pages (from-to)	294-301
Number of pages	8
Journal	Automation in Construction
Volume	18
Issue number	3
DOIs	https://doi.org/10.1016/j.autcon.2008.09.004
Publication status	Published - Jan 2009

Keywords

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

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10.1016/j.autcon.2008.09.004

Cite this

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title = "Automating progress measurement of construction projects",

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.",

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AU - Lukins, Timothy C.

AU - Ibrahim, Yahaya M.

AU - Wu, Song

AU - Kagioglou, Mike

AU - Aouad, Ghassan

AU - Kaka, Ammar P.

AU - Trucco, Emanuele

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KW - Progress measurement

KW - Computer vision

KW - Work breakdown structure (WBS)

KW - PERFORMANCE CONTROL

KW - INTEGRATED COST

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KW - SCHEDULE

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Automating progress measurement of construction projects

Abstract

Keywords

Access to Document

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