Paper
11 April 2008 Perception range prediction for IR pilot sight
A. Robert Weiss, Peter Großmann, Endre Repasi, Gunnar Ritt, Wolfgang Wittenstein
Author Affiliations +
Abstract
The increasing use of IR pilot sight in helicopters calls for a reliable prediction of perception ranges for a variety of objects, especially those needed for orientation and those posing as a potential hazard, like power poles, masts, isolated trees etc. Since the visibility of objects in the IR depends mainly on the temperature differences between those objects and a given background and only marginally on illumination, range prediction techniques used for the visual range or light-amplified vision are only of very limited use. While range predictions based on the Johnson criterion do offer some insight into expected ranges, the inherently nominal nature of distance estimates thus obtained hampers their use for an actual field-deployable pre-flight consulting procedure. In order to overcome those limitations, long-term simultaneous measurements of relevant objects and background temperatures and weather data were carried out and used for temperature prediction from prevalent weather conditions. Together with a perception model derived from extensive observer experiments based on synthetic images of the UH Tiger Pilot Sight Unit we developed a perception range prediction package which is currently evaluated by the weather service of the Bundeswehr. We will present results from the observer experiments together with the derived perception models. These are then compared to actual perception ranges as obtained from flight experiments.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Robert Weiss, Peter Großmann, Endre Repasi, Gunnar Ritt, and Wolfgang Wittenstein "Perception range prediction for IR pilot sight", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410T (11 April 2008); https://doi.org/10.1117/12.777273
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Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Temperature metrology

Infrared cameras

Atmospheric modeling

Sensors

Signal attenuation

Infrared sensors

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