Surface differentiation and position estimation by parametric modeling of signals obtained with infrared sensors

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dc.citation.epage256en_US
dc.citation.spage253en_US
dc.contributor.authorAytaç, Tayfunen_US
dc.contributor.authorBarshan, Billuren_US
dc.coverage.spatialKuşadası, Turkeyen_US
dc.date.accessioned2016-02-08T11:52:57Z
dc.date.available2016-02-08T11:52:57Z
dc.date.issued2004en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 28-30 April 2004en_US
dc.descriptionConference Name: 12th Signal Processing and Communications Applications Conference, IEEE 2004en_US
dc.description.abstractIn this study, low-cost infrared emitters and detectors are used for the recognition of surfaces with different properties in a location-invariant manner. The intensity readings obtained with such sensors are highly dependent on the location and properties of the surface in a way that cannot be represented analytically in a simple manner, complicating the differentiation and localization process. Our approach, which models infrared angular intensity scans parametrically, can distinguish different surfaces independently of their positions. Once the surface type is identified, its position can also be estimated. The method is verified experimentally with wood, styrofoam packaging material, white painted wall, white and black clothes, and white, brown, and violet papers. A correct differentiation rate of 73% is achieved over eight surfaces and the surfaces are localized within absolute range and azimuth errors of 0.8 cm and 1.1°, respectively. The differentiation rate improves to 86% over seven surfaces and 100% over six surfaces. 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 they are commonly employed for.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:52:57Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2004en
dc.identifier.doi10.1109/SIU.2004.1338307en_US
dc.identifier.urihttp://hdl.handle.net/11693/27421
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2004.1338307en_US
dc.source.titleProceedings of the 12th Signal Processing and Communications Applications Conference, IEEE 2004en_US
dc.subjectInfrared emittersen_US
dc.subjectInfrared sensorsen_US
dc.subjectParametric modelingen_US
dc.subjectSurface differentiationen_US
dc.subjectError analysisen_US
dc.subjectInfrared detectorsen_US
dc.subjectMathematical modelsen_US
dc.subjectSurface propertiesen_US
dc.subjectSensorsen_US
dc.titleSurface differentiation and position estimation by parametric modeling of signals obtained with infrared sensorsen_US
dc.title.alternativeKızılberisi algılayıcılardan elde edilen sinyallerin parametrik modellenmesiyle yüzey ayırdetme ve konum kestirimien_US
dc.typeConference Paperen_US

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