Differentiation and localization of targets using infrared sensors
Date
2002Source Title
Optics Communications
Print ISSN
0030-4018
Publisher
Elsevier
Volume
210
Issue
1-2
Pages
25 - 35
Language
English
Type
ArticleItem Usage Stats
207
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191
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Abstract
This study investigates the use of low-cost infrared emitters and detectors in the differentiation and localization of commonly encountered features or targets in indoor environments, such as planes, corners, edges, and cylinders. The intensity readings obtained with such systems are highly dependent on target location and properties in a way which cannot be represented in a simple manner, making the differentiation and localization process difficult. In this paper, we propose the use of angular intensity scans and present an algorithm to process them. This approach can determine the target type independent of its position. Once the target type is identified, its position can also be estimated. The method is verified experimentally. An average correct classification rate of 97% over all target types is achieved and targets are localized within absolute range and azimuth errors of 0.8 cm and 1.6°, respectively. The method demonstrated shows that simple infrared sensors, when coupled with appropriate processing, can be used to extract a significantly greater amount of information than that which they are commonly employed for.
Keywords
Infrared sensorsPattern recognition and feature extraction
Position estimation
Algorithms
Feature extraction
Infrared detectors
Infrared radiation
Optical sensors
Position estimation
Targets