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Automated Recognition of 3D CAD Objects in Site Laser Scans for Project 3D Status Visualization and Performance Control |
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| Authors: | Frederic Bosche Carl T Haas Burcu Akinci |
| Affiliation: | 1Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1 (corresponding author). E-mail: fbosche@engmail.uwaterloo.ca 2Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1. E-mail: chaas@civmail.uwaterloo.ca 3Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Porter Hall 119, Pittsburgh, PA 15213. E-mail: bakinci@cmu.edu |
| Abstract: | This paper presents a new approach that allows automated recognition of three-dimensional (3D) computer-aided design (CAD) objects from 3D site laser scans. This approach provides a robust and efficient means to recognize objects in a scene by integrating planning technologies, such as multidimensional CAD modeling, and field technologies, such as 3D laser scanning. Using such an approach, it would be possible to visualize the 3D status of a project and automate some tasks related to project control. These tasks include 3D progress tracking, productivity tracking, and construction dimensional quality assessment and quality control. This paper provides an overview of the developed approach and demonstrates its performance in object recognition and project 3D status visualization, with data collected from a construction job site. |
| Keywords: | Three-dimensional analysis Automation Imaging techniques Computer aided design Construction |