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Tracking of secondary and temporary objects in structural concrete work

Yelda Turkan (Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa, USA)
Frédéric Bosché (Institute for Building and Urban Design (IBUD), Heriot-Watt University, Edinburgh, UK)
Carl T. Haas (Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada)
Ralph Haas (Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada)

Construction Innovation

ISSN: 1471-4175

Article publication date: 1 April 2014

687

Abstract

Purpose

Previous research has shown that “Scan-vs-BIM” object recognition systems, which fuse three dimensional (3D) point clouds from terrestrial laser scanning (TLS) or digital photogrammetry with 4D project building information models (BIM), provide valuable information for tracking construction works. However, until now, the potential of these systems has been demonstrated for tracking progress of permanent structural works only; no work has been reported yet on tracking secondary or temporary structures. For structural concrete work, temporary structures include formwork, scaffolding and shoring, while secondary components include rebar. Together, they constitute most of the earned value in concrete work. The impact of tracking secondary and temporary objects would thus be added veracity and detail to earned value calculations, and subsequently better project control and performance. The paper aims to discuss these issues.

Design/methodology/approach

Two techniques for recognizing concrete construction secondary and temporary objects in TLS point clouds are implemented and tested using real-life data collected from a reinforced concrete building construction site. Both techniques represent significant innovative extensions of existing “Scan-vs-BIM” object recognition frameworks.

Findings

The experimental results show that it is feasible to recognise secondary and temporary objects in TLS point clouds with good accuracy using the two novel techniques; but it is envisaged that superior results could be achieved by using additional cues such as colour and 3D edge information.

Originality/value

This article makes valuable contributions to the problem of detecting and tracking secondary and temporary objects in 3D point clouds. The power of Scan-vs-BIM object recognition approaches to address this problem is demonstrated, but their limitations are also highlighted.

Keywords

Acknowledgements

This research is partially funded by the Natural Sciences and Research Council of Canada (NSERC), the Collaborative Research and Development Grant (CRD), NSERC Discovery Grant, Construction Industry Institute (CII), and SNC Lavalin. Their support is gratefully acknowledged.

Citation

Turkan, Y., Bosché, F., T. Haas, C. and Haas, R. (2014), "Tracking of secondary and temporary objects in structural concrete work", Construction Innovation, Vol. 14 No. 2, pp. 145-167. https://doi.org/10.1108/CI-12-2012-0063

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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