Vision-based deformation monitoring of large scale structures using Unmanned Aerial Systems
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Détails bibliographiques
Auteur(s): |
Norman Hallermann
Guido Morgenthal Volker Rodehorst |
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Médium: | papier de conférence | ||||
Langue(s): | anglais | ||||
Conférence: | IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014 | ||||
Publié dans: | IABSE Symposium Madrid 2014 | ||||
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Page(s): | 2852-2859 | ||||
Nombre total de pages (du PDF): | 8 | ||||
Année: | 2014 | ||||
DOI: | 10.2749/222137814814070343 | ||||
Abstrait: |
The monitoring and inspection of structures is typically based on visual investigations. Especially the examination of very large structures, for example large retaining walls or dams, is an exceptionally complex task for civil engineers and closely associated with high risks regarding to the assessment of structural stability. For a reliable assessment of the structural stability detailed data of all parts of the structure are required. But an all-embracing inspection of such structures is technically complex and time consuming. This leads to high inspection costs. This paper presents a new vision-based monitoring method of large scale structures based on aerial photos taken by remote controlled unmanned aerial systems. The approach offers the possibility of detailed automatic displacement detection by using photogrammetric computer vision algorithms in post flight analysis. The currently available high-end flight systems and new computer vision methods can contribute to the improvement of quality and efficiency of the inspection and safety of large structures. |