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Journal of Construction Engineering and Management / Volume 137 / Issue 10 / TECHNICAL PAPERS / Construction Engineering Research

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Data-Fusion Approaches and Applications for Construction Engineering

J. Constr. Eng. Manage. 137, 863 (2011); http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000287 (7 pages)

Seyed Mohsen Shahandashti, S.M.ASCE1, Saiedeh N. Razavi, M.ASCE2, Lucio Soibelman, M.ASCE3, Mario Berges, A.M.ASCE4, Carlos H. Caldas, A.M.ASCE5, Ioannis Brilakis, M.ASCE6, Jochen Teizer, A.M.ASCE7, Patricio A. Vela8, Carl Haas, F.ASCE9, James Garrett, F.ASCE10, Burcu Akinci, M.ASCE11, and Zhenhua Zhu, A.M.ASCE12

1Ph.D. Student, School of Building Construction, Georgia Institute of Technology, 280 Ferst Dr., Atlanta, GA 30332 (corresponding author). E-mail: sshahandashti3@gatech.edu
2Assistant Professor and Chair in Heavy Construction, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. W., JHE-301, Hamilton, Ontario, Canada, L8S 4L7. E-mail: razavi@mcmaster.ca
3Professor, Dept. of Civil and Environmental Engineering, 123C Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: lucio@andrew.cmu.edu
4Assistant Professor, Dept. of Civil and Environmental Engineering, 119 Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: marioberges@cmu.edu
5Associate Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 1 University Station C1752, Austin, TX 78712. E-mail: caldas@mail.utexas.edu
6Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA 30332. E-mail: brilakis@gatech.edu
7Assistant Professor, Dept. of Civil and Environmental Engineering, 327 Sustainable Education Building, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: teizer@gatech.edu
8Assistant Professor, Dept. of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332. E-mail: pvela@gatech.edu
9Professor, Canada Research Chair in Construction and Management of Sustainable Infrastructure, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Avenue W., Waterloo, Ontario, Canada, N2L 3G1. E-mail: chaas@civmail.uwaterloo.ca
10Thomas Lord Professor and Head, Dept. of Civil and Environmental Engineering, 119D Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: garrett@cmu.edu
11Professor, Dept. of Civil and Environmental Engineering, 123K Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: bakinci@andrew.cmu.edu
12Assistant Professor, Dept. of Building, Civil, and Environmental Engineering, EV. 6-237, Concordia Univ., 1455 de Maisonneuve Blvd. W., Montreal, Québec, Canada, H3G 1M8. E-mail: zhzhu@bcee.concordia.ca

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(Submitted 26 June 2010; accepted 7 September 2010; posted ahead of print 1 September 2010)

Data fusion can be defined as the process of combining data or information for estimating the state of an entity. Data fusion is a multidisciplinary field that has several benefits, such as enhancing the confidence, improving reliability, and reducing ambiguity of measurements for estimating the state of entities in engineering systems. It can also enhance completeness of fused data that may be required for estimating the state of engineering systems. Data fusion has been applied to different fields, such as robotics, automation, and intelligent systems. This paper reviews some examples of recent applications of data fusion in civil engineering and presents some of the potential benefits of using data fusion in civil engineering.

© 2011 American Society of Civil Engineers

Acknowledgments

This work would not have been possible without the help of researchers who, although not listed as authors for this publication because of space constraints, contributed equally to the ideas presented herein. In particular, we would like to thank Anthony Rowe for his work on Sensor Andrew and for the useful discussions he held with the authors. We would also like to thank Tao Cheng for his work on the section entitled “Automated Remote Sensing Techniques for Site Operations Analysis.”

Article Outline

  1. Introduction
  2. Data Fusion for On-Site Materials Tracking in Construction
  3. Methodology for Automating Identification and Localization of Engineered Components
  4. Automated Remote Sensing Techniques for Site Operations Analysis
  5. Visual Data Fusion for Object Recognition and Reconstruction in Construction
  6. Video Interpretation Methodology for Rapid Productivity Analysis
  7. Data Fusion and Integration for Supporting Continual Construction Productivity Assessment
  8. Sensor Andrew: Integrating Isolated Monitoring and Control Devices in Common Infrastructure
  9. Conclusion

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ARTICLE DATA

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http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000287

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0733-9364 (print)  
1943-7862 (online)

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American Society of Civil Engineers

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