Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
Vision trackers have been proposed as a promising alternative for tracking at large-scale, congested construction sites. They provide the location of a large number of entities in a camera view across frames. However, vision trackers provide only two-dimensional (2D) pixel coordinates, which are not adequate for construction applications. This paper proposes and validates a method that overcomes this limitation by employing stereo cameras and converting 2D pixel coordinates to three-dimensional (3D) metric coordinates. The proposed method consists of four steps: camera calibration, camera pose estimation, 2D tracking, and triangulation. Given that the method employs fixed, calibrated stereo cameras with a long baseline, appropriate algorithms are selected for each step. Once the first two steps reveal camera system parameters, the third step determines 2D pixel coordinates of entities in subsequent frames. The 2D coordinates are triangulated on the basis of the camera system parameters to obtain 3D coordinates. The methodology presented in this paper has been implemented and tested with data collected from a construction site. The results demonstrate the suitability of this method for on-site tracking purposes.
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
Vision trackers have been proposed as a promising alternative for tracking at large-scale, congested construction sites. They provide the location of a large number of entities in a camera view across frames. However, vision trackers provide only two-dimensional (2D) pixel coordinates, which are not adequate for construction applications. This paper proposes and validates a method that overcomes this limitation by employing stereo cameras and converting 2D pixel coordinates to three-dimensional (3D) metric coordinates. The proposed method consists of four steps: camera calibration, camera pose estimation, 2D tracking, and triangulation. Given that the method employs fixed, calibrated stereo cameras with a long baseline, appropriate algorithms are selected for each step. Once the first two steps reveal camera system parameters, the third step determines 2D pixel coordinates of entities in subsequent frames. The 2D coordinates are triangulated on the basis of the camera system parameters to obtain 3D coordinates. The methodology presented in this paper has been implemented and tested with data collected from a construction site. The results demonstrate the suitability of this method for on-site tracking purposes.
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
Park, Man-Woo (Autor:in) / Koch, Christian (Autor:in) / Brilakis, Ioannis (Autor:in)
Journal of Computing in Civil Engineering ; 26 ; 541-549
19.09.2011
92012-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
| Online Contents | 2012
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
| British Library Online Contents | 2012
Comparative study of vision tracking methods for tracking of construction site resources
| British Library Online Contents | 2011
Comparative study of vision tracking methods for tracking of construction site resources
| Online Contents | 2011