Differentiation and localization using infrared sensors

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buir.advisorBarshan, Billur
dc.contributor.authorAytaƧ, Tayfun
dc.date.accessioned2017-12-11T11:04:10Z
dc.date.available2017-12-11T11:04:10Z
dc.date.copyright2002-08
dc.date.issued2002-08
dc.date.submitted2002-08
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Electrical and Electronic Engineering, İhsan Doğramacı Bilkent University, 2002.en_US
dc.descriptionIncludes bibliographical references (leaves 52-57).en_US
dc.description.abstractIn this thesis different approaches for the differentiation and localization of targets using low cost infrared sensors are presented. The intensity readings obtained with such sensors are highly dependent on the location and properties of targets in a way which cannot be represented in a simple manner, making the differentiation and localization process difficult. We propose the use of angular intensity scans and present different approaches to process them. Using these approaches, targets of different geometrical shapes but identical surface properties targets of difffferent surface properties but identical geometry, and targets having both different geometrical shapes and surface properties are differentiated and localized in a position-invariant manner. Maximum correct differentiation rates of 97% 87% and 65% are respectively achieved in these cases, indicating that the geometrical properties of targets are more distinctive than their surface properties in the differentiation process. The different approaches are verified experimentally with target types of commonly encountered geometries in indoor environments and with surfaces of different reflection properties. The results indicate 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.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Tayfun AytaƧ.en_US
dc.format.extentxii, 57 leaves. : illustrations ; 30 cm + |e1 computer disk.en_US
dc.identifier.itemidBILKUTUPB067571
dc.identifier.urihttp://hdl.handle.net/11693/35660
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPattern recognition and feature extractionen_US
dc.subjectInfrared sensorsen_US
dc.subjectTarget differentiation and localizationen_US
dc.subjectSurface recognitionen_US
dc.subjectPosition estimationen_US
dc.subject.lccTA1570 .A98 2002en_US
dc.titleDifferentiation and localization using infrared sensorsen_US
dc.title.alternativeKızılƶtesi algılayıcılar ile ayırtedme ve konumlandırmaen_US
dc.typeThesisen_US

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Dept. of Electrical and Electronics Engineering - Master's degree