Automated Recognition of 3d Cad Objects in Site Laser Scans for Project 3d Status Visualization and Performance Control
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 multi-dimensional 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 (QA/QC). 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.