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A UAV-based 3D model for building condition monitoring

Authors :
Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
Universitat Politècnica de Catalunya. Departament de Matemàtiques
Universitat Politècnica de Catalunya. GREiP - Grup de Recerca d'Edificació i Patrimoni
Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
Banaszek, Anna
Banaszek, Sebastian
Cellmer, Anna
Gibert Armengol, Vicente
Serrat Piè, Carles
Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
Universitat Politècnica de Catalunya. Departament de Matemàtiques
Universitat Politècnica de Catalunya. GREiP - Grup de Recerca d'Edificació i Patrimoni
Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
Banaszek, Anna
Banaszek, Sebastian
Cellmer, Anna
Gibert Armengol, Vicente
Serrat Piè, Carles
Publication Year :
2019

Abstract

The aim of the paper is to introduce a tool for the accurate assessment of the technical condition of buildings. The proposed methodology is becoming an efficient strategy for the massive inspection of building stocks, in big residential areas. The authors have developed an utility based on high-performance images captured by Unmanned Aerial Vehicles (UAVs). The flights of the UAVs have been technically protocolized in order to get the proper high-quality information about the real condition of the building. After collecting the images a 3D model is generated and orthophotos of building facades are created. The graphical information is connected with tables of attributes which allow the interactive geo-referenced management and assessment. Main requirements and advantages of this visualization technique will be presented by analyzing a particular case study. The selected example will allow the illustration of the methodology. Ongoing developments and technical details about the information system and the analysis platform connected with the visualization tool will be also reported.<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
14 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1247079290
Document Type :
Electronic Resource