Performance of automated project progress tracking with 3D Data fusion

Frederic Bosche, Carl Haas, Paul Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the Architectural-Engineering-Construction & Facility Management industry, project progress tracking is an important management task. Currently, this task still requires a significant amount of non value-adding manual effort that interferes with value-adding work. Additionally, current practice may lead to approximate or unreliable results. In this paper, the authors present an approach fusing threedimensional (3D) Computer-Aided Design (CAD) modeling and time-stamped 3D laser scanned data for non intrusive automated project progress tracking. This approach robustly and efficiently recognizes all 3D CAD model elements in project 3D laser scans. Its applicability and performance with respect to automated construction progress tracking are investigated. Real-life data obtained during the construction of a green field power plant project is used for the investigation.
Original languageEnglish
Title of host publicationAnnual Conference of the Canadian Society for Civil Engineering
ISBN (Print)9781605603964
Publication statusPublished - 2008


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