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dc.contributor.authorSerrat Piè, Carles
dc.contributor.authorBanaszek, Sebastian
dc.contributor.authorCellmer, Anna
dc.contributor.authorGibert Armengol, Vicente
dc.contributor.authorBanaszek, Anna
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
dc.identifier.citationSerrat, C. [et al.]. UAV, digital processing and vectorization techniques applied to building condition assessment and follow-up. "Tehnicki glasnik technical journal", 9 Desembre 2020, vol. 14, núm. 4, p. 507-513.
dc.description.abstractThe aim of the paper is to explain the basic principles of carrying out an inventory and follow-up of buildings and their condition assessment, by using the Full Interactive Visualization Method for Building Condition Assessment platform. It is a platform enabling the implementation of construction inventory based on the remote cooperation of many specialists in the field of, among others: building construction, architecture, civil engineering, photogrammetry, CAD, UAV. This type of cooperation is of particular importance especially in the context of the current epidemiological situation related to COVID-19. The idea of the presented platform fits into the broadly understanding of Building Information Modeling. After introducing the methodology, stages of the inventory and follow-up process carried out within the platform are illustrated and discussed on the basis of a case study. Based on the obtained results it can be concluded that the proposed methodology creates a convenient, efficient and inexpensive tool for massive inspection of building resources in large areas. The inventory is based primarily on high-quality photo and video material obtained from the deck of an unmanned aerial vehicle and the expert knowledge of the inspector conducting the inspection. By combining digital images data (photos, 3D model, orthophotos) with substantive data (facade element classification tables, wear / defect classification tables), we get a platform that allows intuitive access to viewing, classification, editing and analysis of selected data.
dc.format.extent7 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Edificació::Rehabilitació d'edificis
dc.subject.lcshDrone aircraft
dc.subject.lcshArchitecture -- Conservation and restoration
dc.subject.lcshGeographic information systems
dc.subject.otherBuilding condition assessment
dc.titleUAV, digital processing and vectorization techniques applied to building condition assessment and follow-up
dc.subject.lemacAvions no tripulats
dc.subject.lemacSistemes d'informació geogràfica
dc.subject.lemacArquitectura -- Conservació i restauració
dc.contributor.groupUniversitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. GREiP - Grup de Recerca d'Edificació i Patrimoni
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorSerrat, C.; Banaszek, S.; Cellmer, A.; Gibert, V.; Banaszek, A.
local.citation.publicationNameTehnicki glasnik technical journal

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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain