UBRISTES: UAV-Based Building Rehabilitation with Visible and Thermal Infrared Remote Sensing

Building inspection is a critical issue for designing rehabilitation projects, which are recently gaining importance for environmental and energy efficiency reasons. Image sensors on-board unmanned aerial vehicles are a powerful tool for building inspection, given the diversity and complexity of faç...

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Published inRobot 2015: Second Iberian Robotics Conference pp. 245 - 256
Main Authors Carrio, Adrian, Pestana, Jesús, Sanchez-Lopez, Jose-Luis, Suarez-Fernandez, Ramon, Campoy, Pascual, Tendero, Ricardo, García-De-Viedma, María, González-Rodrigo, Beatriz, Bonatti, Javier, Rejas-Ayuga, Juan Gregorio, Martínez-Marín, Rubén, Marchamalo-Sacristán, Miguel
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2016
SeriesAdvances in Intelligent Systems and Computing
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ISBN9783319271453
3319271458
ISSN2194-5357
2194-5365
DOI10.1007/978-3-319-27146-0_19

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Summary:Building inspection is a critical issue for designing rehabilitation projects, which are recently gaining importance for environmental and energy efficiency reasons. Image sensors on-board unmanned aerial vehicles are a powerful tool for building inspection, given the diversity and complexity of façades and materials, and mainly, their vertical disposition. The UBRISTES (UAV-based Building Rehabilitation with vISible and ThErmal infrared remote Sensing) system is proposed as an effective solution for façade inspection in urban areas, validating a method for the simultaneous acquisition of visible and thermal aerial imaging applied to the detection of the main types of façade anomalies/pathologies, and showcasing its possibilities using a first principles analysis. Two public buildings have been considered for evaluating the proposed system. UBRISTES is ready to use in building inspection and has been proved as a useful tool in the design of rehabilitation projects for inaccessible, complex building structures in the context of energy efficiency.
ISBN:9783319271453
3319271458
ISSN:2194-5357
2194-5365
DOI:10.1007/978-3-319-27146-0_19