Zhang, X, Bakis, N, Lukins, T, Ibrahim, Y, Wu, S, Kagioglou, M, Aouad, GF, Kaka, A and Trucco, E 2009, 'Automating progress measurement of construction projects' , Automation in Construction, 18 (3) , pp. 294-301.
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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.
| Item Type: | Article |
|---|---|
| Themes: | Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software Subjects / Themes > T Technology > TA Engineering (General). Civil engineering (General) Built and Human Environment Subjects outside of the University Themes |
| Schools: | Schools > School of the Built Environment > Centre for Urban Processes, Resilient Infrastructures & Sustainable Environments |
| Journal or Publication Title: | Automation in Construction |
| Publisher: | Elsevier |
| Refereed: | Yes |
| ISSN: | 0926-5805 |
| Related URLs: | |
| Depositing User: | Dr Nick Bakis |
| Date Deposited: | 16 Mar 2011 10:37 |
| Last Modified: | 16 Feb 2022 11:04 |
| URI: | https://usir.salford.ac.uk/id/eprint/12965 |
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