Supervisor name & contact details:
Supervisors Profile:
Research Centre:
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Supervisors Publication List:
Dr. Eugene McGovern
Email: eugene.mcgovern@dit.ie
Spatial Information Research Group (SInRG)
The Spatial Information Research Group
(SInRG) group was established in 2010 with the purpose of providing a coherent structure for the promotion and development of departmental research in the spatial information sciences and related areas. The range of research interests, and both academic and professional experience, of the members of SInRG gives the research group a uniquely broad focus. www.dit.ie/sinrg http://arrow.dit.ie/do/search/?q=author_lnam e%3A%22McGovern%22%20AND%20author_f name%3A%22Eugene%22&start=0&context=4
90738&sort=date_desc
Title of the Project: The integration of ultra-light UAV and Terrestrial Laser Scanner point cloud data for Building Information Modelling.
Project Summary: Building Information Modelling is a new approach to building design and management and requires very accurate 3D models of the buildings to be produced. The dense point clouds captured by terrestrial laser scanners are suitable for the production of 3D models of existing buildings and terrestrial laser scanning is becoming a standard data capture technology for such applications. Nevertheless, issues exist with the use of terrestrial laser scanning, particularly with respect to roof structures and other elements of the building that are occluded from the scanner viewpoint. Low-cost ulta-light UAV’s (unmanned aerial vehicles) equipped with
GPS guidance and downward-looking cameras are a recent development and hold the possibility of collecting photographic data from which 3D point cloud data can be generated using the recently developed image-matching algorithms. The integration of ultra-light UAV- and terrestrial laser scanner-derived point cloud data has the possibility of producing more complete 3D point clouds of existing buildings from which accurate 3D models can be produced for the purposes of
Building Information Modelling. There are, however, many issues that need to be investigated and resolved before the efficacy of this novel solution, which involves the integration of cutting-

edge data-capture technologies and processing algorithms, can be established. The principal objectives of this PhD research proposal are the identification, investigation and resolution of these issues and the assessment of the efficacy of any proposed solution.
Ciência sem Fronteiras / Science Without Borders Priority Area: