Paper
18 May 2012 Performance modeling and assessment of infrared-sensors applicable for TALOS project UGV as a function of target/background and environmental conditions
Stephane Barbe, Jean-Claude Krapez, Yolande Louvet
Author Affiliations +
Abstract
TALOS (Transportable and Autonomous Land bOrder Surveillance system - www.talos-border.eu) is an international research project co-funded from EU 7th Framework Program funds in Security priority. The main objective of TALOS project is to develop and field test the innovative concept of a mobile, autonomous system for protecting European land borders. Unmanned Ground Vehicles (UGVs) are major components of TALOS project. The UGVs will be equipped with long range radar for detection of moving vehicle and people, as well as long focal length EO/IR sensors allowing the operator to recognize and identify the detected objects of interest. Furthermore medium focal length IR sensors are used to allow the operator to drive the UGV. Those sensors must fulfill mission requirements for extremely various environmental conditions (backgrounds, topographic characteristics, climatic conditions, weather conditions) existing from Finland in the North and Bulgaria / Turkey in the South of Europe. An infrared sensor performance model was developed at ONERA in order to evaluate target detection, recognition and identification range for several simulations cases representative of the whole environmental variability domain. Results analysis allows assessing the operability domain of the infrared sensors. This paper presents the infrared sensor performance evaluation methodology and the synthesis of a large number of simulation results applied to two infrared sensors of interest: a medium / long range cooled MWIR sensor for observation and a short / medium uncooled LWIR sensor for navigation.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephane Barbe, Jean-Claude Krapez, and Yolande Louvet "Performance modeling and assessment of infrared-sensors applicable for TALOS project UGV as a function of target/background and environmental conditions", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83551A (18 May 2012); https://doi.org/10.1117/12.918564
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Cited by 4 scholarly publications.
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KEYWORDS
Infrared sensors

Sensors

Target detection

Atmospheric sensing

Mid-IR

Long wavelength infrared

Target recognition

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