Bias and bottlenecks study in outdoor long term thermal monitoring by infrared thermography: Leveraging opportunistic data for temperature estimation - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Infrared Physics and Technology Année : 2024

Bias and bottlenecks study in outdoor long term thermal monitoring by infrared thermography: Leveraging opportunistic data for temperature estimation

Résumé

This study aims to assess the impact of the targeted scene and environmental variables on in situ longterm thermal monitoring by infrared thermography. It also addresses projection errors arising from camera perspectives and digitization. Over a span of 3 years, extensive measurements were conducted at two instrumented test sites, yielding a valuable dataset for analysis. The paper begins by introducing and discussing the model used to convert the collected data into surface temperature estimations and its associated parameters’ sensitivities. Subsequently, it delves into the effects of camera resectioning on infrared measurements. Finally, the study investigates the influence of environmental parameters and proposes a strategy to correct for these effects, with and without additional sensors (opportunistic data) and additional in-situ measurements. Finally, a discussion is proposed and perspectives are addressed.

Domaines

Génie civil

Dates et versions

hal-04677950 , version 1 (26-08-2024)

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Identifiants

Citer

Thibaud Toullier, Jean Dumoulin. Bias and bottlenecks study in outdoor long term thermal monitoring by infrared thermography: Leveraging opportunistic data for temperature estimation. Infrared Physics and Technology, 2024, 141, pp.105471. ⟨10.1016/j.infrared.2024.105471⟩. ⟨hal-04677950⟩
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