1Institut National de Recherche en Informatique et en Automatique (France) 2Institut Francais des Sciences et Technologies des Transports de l'amenagement et des Reseaux (France) 3Institut de Recherche en Informatique et Systèmes Aléatoires (France)
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Low cost solutions to infrastructure’s thermal monitoring has become possible thanks to the development of uncooled infrared cameras over the past few years. However, in order to get a temperature value, one need to convert the radiative fluxes received by the camera. Such a step depends on spatial parameters, environment and the observed target characteristics which are usually unknowns or roughly estimated. To overcome this lack of knownledge, one solution is to combine the infrared camera measurements with other sensors. The purpose of this study is to examine the influence of the different parameters on the temperature conversion process and finally see to what extent complementary data can improve the estimation of the targeted object’s temperature.
T. Toullier,J. Dumoulin, andL. Mevel
"Study of complementary multi-sensors data influence on infrared thermography measurements for in-situ long-term monitoring", Proc. SPIE 11059, Multimodal Sensing: Technologies and Applications, 110590H (21 June 2019); https://doi.org/10.1117/12.2526229
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T. Toullier, J. Dumoulin, L. Mevel, "Study of complementary multi-sensors data influence on infrared thermography measurements for in-situ long-term monitoring," Proc. SPIE 11059, Multimodal Sensing: Technologies and Applications, 110590H (21 June 2019); https://doi.org/10.1117/12.2526229