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Potentials of Autonomous UAS and Automated Image Analysis for Structural Health Monitoring

 Potentials of Autonomous UAS and Automated Image Analysis for Structural Health Monitoring
Author(s): , , , , ORCID
Presented at IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018, published in , pp. S24-119
DOI: 10.2749/nantes.2018.s24-119
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Unmanned aircraft systems (UAS) are increasingly used for the inspection of buildings and critical infrastructures. Manual inspection efforts can be reduced by a camera equipped UAS in combination ...
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Bibliographic Details

Author(s): (Bauhaus-Universität Weimar, Weimar, Germany)
(Bauhaus-Universität Weimar, Weimar, Germany)
(Bauhaus-Universität Weimar, Weimar, Germany)
(Bauhaus-Universität Weimar, Weimar, Germany)
ORCID (Bauhaus-Universität Weimar, Weimar, Germany)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018
Published in:
Page(s): S24-119 Total no. of pages: 8
Page(s): S24-119
Total no. of pages: 8
DOI: 10.2749/nantes.2018.s24-119
Abstract:

Unmanned aircraft systems (UAS) are increasingly used for the inspection of buildings and critical infrastructures. Manual inspection efforts can be reduced by a camera equipped UAS in combination with advanced image analysis. Tailored methods for the planning of UAS-based image acquisition are required here. In order to ensure efficient inspection procedures, the geo-location, view direction and imaging properties of each image have to be reconstructed. Furthermore, accurate and reliable methods for the extraction of 3D object information as well as visible damages can be exploited to automatically identify potentially affected areas. In this paper, the components and required methods for an inspection system supported by an autonomous UAS and automated image analysis are identified, discussed and evaluated. The results show the great potential and value of process automation and the benefit of image analysis in a decision support system.

Keywords:
inspection structural health monitoring unmanned aircraft systems image analysis Decision Support 3D reconstruction crack detection and localization