1 June 2003 Rule-based target differentiation and position estimation based on infrared intensity measurements
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Optical Engineering, 42(6), (2003). doi:10.1117/1.1570428
This study investigates the use of low-cost infrared sensors in the differentiation and localization of target primitives commonly encountered in indoor environments, such as planes, corners, edges, and cylinders. The intensity readings from such sensors are highly dependent on target location and properties in a way that cannot be represented in a simple manner, making the differentiation and localization difficult. We propose the use of angular intensity scans from two infrared sensors and present a rule-based algorithm to process them. The method can achieve position-invariant target differentiation without relying on the absolute return signal intensities of the infrared sensors. The method is verified experimentally. Planes, 90-deg corners, 90-deg edges, and cylinders are differentiated with correct rates of 90%, 100%, 82.5%, and 92.5%, respectively. Targets are localized with average absolute range and azimuth errors of 0.55 cm and 1.03 deg. The demonstration shows that simple infrared sensors, when coupled with appropriate processing, can be used to extract a significantly greater amount of information than they are commonly employed for.
Tayfun Aytac, Billur Barshan, "Rule-based target differentiation and position estimation based on infrared intensity measurements," Optical Engineering 42(6), (1 June 2003). http://dx.doi.org/10.1117/1.1570428

Infrared sensors


Infrared radiation

Target detection

Detection and tracking algorithms

Target recognition

Surface properties

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