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Bagheri-Zadeh, S, Kim, H, Hounsell, S, Wood, C R, Soleymani, H and King, M (2007) Field Study of Concrete Maturity Methodology in Cold Weather. Journal of Construction Engineering and Management, 133(11), 827–35.

Bernold, L E (2007) Quantitative Assessment of Backhoe Operator Skill. Journal of Construction Engineering and Management, 133(11), 889–99.

de la Garza, J M, Prateapusanond, A and Ambani, N (2007) Preallocation of Total Float in the Application of a Critical Path Method Based Construction Contract. Journal of Construction Engineering and Management, 133(11), 836–45.

Lin, K and Soibelman, L (2007) Knowledge-Assisted Retrieval of Online Product Information in Architectural/Engineering/Construction. Journal of Construction Engineering and Management, 133(11), 871–9.

Luo, Y, Shen, Y and Xu, X (2007) Construction Method for Cylindrical Latticed Shells Based on Expandable Mechanisms. Journal of Construction Engineering and Management, 133(11), 912–5.

Ozorovskaja, R, Voordijk, J T and Wilderom, C P M (2007) Leadership and Cultures of Lithuanian and Dutch Construction Firms. Journal of Construction Engineering and Management, 133(11), 900–11.

Shamsai, M, Whitlatch, E and Sezen, H (2007) Economic Evaluation of Reinforced Concrete Structures with Columns Reinforced with Prefabricated Cage System. Journal of Construction Engineering and Management, 133(11), 864–70.

Sharrard, A L, Matthews, H S and Roth, M (2007) Environmental Implications of Construction Site Energy Use and Electricity Generation1. Journal of Construction Engineering and Management, 133(11), 846–54.

Skitmore, R M, Pettitt, A N and McVinish, R (2007) Gates’ Bidding Model. Journal of Construction Engineering and Management, 133(11), 855–63.

Teizer, J, Caldas, C H and Haas, C T (2007) Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources. Journal of Construction Engineering and Management, 133(11), 880–8.

  • Type: Journal Article
  • Keywords: Tracking; Lasers; Data processing; Safety; Three-dimensional models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:11(880)
  • Abstract:
    Awareness of the construction environment can be improved by automatic three-dimensional (3D) sensing and modeling of job sites in real time. Commercially available 3D modeling approaches based on range scanning techniques are capable of modeling static objects only, and thus cannot model dynamic objects in real time in an environment comprised of moving humans, equipment, and materials. Emerging prototype video range cameras offer an alternative by facilitating affordable, wide field of view, dynamic object tracking at frame rates better than 1 Hz (real time). This paper describes a methodology to model, detect, and track the position of static and moving objects in real time, based on data obtained from video range cameras. Experiments with this technology have produced results that indicate that video rate 3D data acquisition and analysis of construction environments can support effective modeling, detection, and tracking of project resources. This approach to job site awareness has inherent value and broad application. In combination with effective management practices and other sensing techniques, this technology has the potential to significantly improve safety on construction job sites.