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dc.contributor.authorAytaç, T.en_US
dc.contributor.authorBarshan, B.en_US
dc.date.accessioned2016-02-08T10:29:51Z
dc.date.available2016-02-08T10:29:51Z
dc.date.issued2003en_US
dc.identifier.issn0091-3286
dc.identifier.urihttp://hdl.handle.net/11693/24468
dc.description.abstractThis 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.en_US
dc.language.isoEnglishen_US
dc.source.titleOptical Engineeringen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/1.1570428en_US
dc.subjectInfrared sensorsen_US
dc.subjectOptical sensingen_US
dc.subjectPattern recognition and feature extractionen_US
dc.subjectPosition estimationen_US
dc.subjectTarget differentiation and localizationen_US
dc.subjectAlgorithmsen_US
dc.subjectFeature extractionen_US
dc.subjectKnowledge based systemsen_US
dc.subjectMathematical modelsen_US
dc.subjectMobile robotsen_US
dc.subjectPosition controlen_US
dc.subjectRobotic armsen_US
dc.subjectSurface propertiesen_US
dc.subjectElectronic sticken_US
dc.subjectInfrared intensity measurementen_US
dc.subjectInfrared sensoren_US
dc.subjectPhong illumination modelen_US
dc.subjectPosition estimationen_US
dc.subjectRule-based target differentiationen_US
dc.subjectInfrared detectorsen_US
dc.titleRule-based target differentiation and position estimation based on infrared intensity measurementsen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1766en_US
dc.citation.epage1771en_US
dc.citation.volumeNumber42en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1117/1.1570428en_US
dc.publisherSPIEen_US


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