• DocumentCode
    757684
  • Title

    Classifying Surface Roughness With CTFM Ultrasonic Sensing

  • Author

    McKerrow, Phillip J. ; Kristiansen, Bjorn E.

  • Author_Institution
    Sch. of Inf. Technol. & Comput. Sci., Wollongong Univ., NSW
  • Volume
    6
  • Issue
    5
  • fYear
    2006
  • Firstpage
    1267
  • Lastpage
    1279
  • Abstract
    Roughness is a characteristic of a surface that is a function of its geometry. Ultrasonic sensing in air provides range, area, and angle information because the surface geometry determines the characteristics of the echo. The authors introduce the "spatial-angle-filter model" to explain the impact of surface roughness on the echo. On the basis of this model, they design a set of features for use in classifying surfaces. The quality of the features and the classification is measured with the Mahalanobis distance. The resultant system is able to achieve 99.73% classification of a set of 12 surfaces using five features
  • Keywords
    nonelectric sensing devices; surface roughness; surface topography measurement; ultrasonic applications; ultrasonic devices; continuous transmission frequency modulated ultrasonic sensor; spatial-angle-filter model; surface geometry; surface roughness; Filters; Frequency modulation; Humans; Information geometry; Mobile robots; Rough surfaces; Sensor phenomena and characterization; Surface impedance; Surface roughness; Ultrasonic variables measurement; Continuous transmission frequency modulated (CTFM) ultrasonic sensor; Mahalanobis classifier; spatial-angle filter; surface roughness; ultrasonic sensing; wheeled mobile robot;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2006.881419
  • Filename
    1703488