Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources |
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Authors: | Jochen Teizer Carlos H. Caldas Carl T. Haas |
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Affiliation: | 1Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA 30332-0355. E-mail: teizer@gatech.edu 2Assistant Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Texas at Austin, 1 University Station C1752, Austin, TX 78712-0276 (corresponding author). E-mail: caldas@mail.utexas.edu 3Professor, Dept. of Civil Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo ON, Canada N2L 3G1. E-mail: chaas@civmail.uwaterloo.ca
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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. |
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Keywords: | Data processing Safety Three-dimensional models Tracking Lasers |
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