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The concept of thermovision sensor supporting the navigation of unmanned aerial platforms

Bieszczad Grzegorz, Gogler Sławomir, Krupiński Michał, Ligienza Andrzej, Sawicki Krzysztof

Measurement Automation Monitoring

2019

Vol. 65, No. 1

15--18

The topic of this paper is a concept of a new type of a sensor intended for unmanned aerial vehicles (UAVs). Its operation is based on processing images acquired from a thermal camera operating in the long-wave infrared band (LWIR) placed underneath a vehicle’s chassis. The vehicle’s spatial displacement is determined by analyzing movement of characteristic thermal radiation points (ground, forest, buildings, etc.) in pictures acquired by the thermal camera. Magnitude and direction of displacement is obtained by processing stream of consecutive pictures with optical-flow based algorithm in real time. Radiation distribution analysis allows to calculate camera’s self-translation vector. Advantages of measuring translation based on thermal image analysis is lack of drift effect, resistance to magnetic field variations, low susceptibility to electromagnetic interference and change in weather conditions as compared to traditional inertial navigation sensors. As opposed to visible light situational awareness sensors, it offers operation in complete darkness (harsh weather nights and indoors).