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 in | Robot 2015: Second Iberian Robotics Conference pp. 245 - 256 | 
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| Main Authors | , , , , , , , , , , , | 
| Format | Book Chapter | 
| Language | English | 
| Published | 
        Cham
          Springer International Publishing
    
        2016
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| Series | Advances in Intelligent Systems and Computing | 
| Subjects | |
| Online Access | Get full text | 
| ISBN | 9783319271453 3319271458  | 
| ISSN | 2194-5357 2194-5365  | 
| DOI | 10.1007/978-3-319-27146-0_19 | 
Cover
| 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. | 
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| ISBN: | 9783319271453 3319271458  | 
| ISSN: | 2194-5357 2194-5365  | 
| DOI: | 10.1007/978-3-319-27146-0_19 |