This paper describes an automatic system that detects thermal insulation properties of the different components of buildings envelope by combining laser data with thermal images. Sensor data is obtained from a moving vehicle equipped with a GPS sensor. Range data is integrated to obtain the 3D structure of the building facade, and combined with thermal images to separate components such as walls, windows frames and glasses. Thermal leakage is detected by detecting irregularities in the thermal measurements of each building component separately (window glasses, window frames and walls). © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fernández-Llorca, D., Lorente, A. G., Fernández, C., Daza, I. G., & Sotelo, M. A. (2013). Automatic thermal leakage detection in building facades using laser and thermal images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 71–78). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_10
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