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      • Department of Electrical and Electronics Engineering
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      Surface differentiation and position estimation by parametric modeling of signals obtained with infrared sensors

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      Author
      Aytaç, Tayfun
      Barshan, Billur
      Date
      2004
      Source Title
      Proceedings of the 12th Signal Processing and Communications Applications Conference, IEEE 2004
      Publisher
      IEEE
      Pages
      253 - 256
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In 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.
      Keywords
      Infrared emitters
      Infrared sensors
      Parametric modeling
      Surface differentiation
      Error analysis
      Infrared detectors
      Mathematical models
      Surface properties
      Sensors
      Permalink
      http://hdl.handle.net/11693/27421
      Published Version (Please cite this version)
      https://doi.org/10.1109/SIU.2004.1338307
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      • Department of Electrical and Electronics Engineering 3524
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