• DocumentCode
    497663
  • Title

    Fuzzy estimation and segmentation for laser range scans

  • Author

    Reuter, Stephan ; Dietmayer, Klaus C J

  • Author_Institution
    Inst. of Meas., Control & Microtechnol., Univ. of Ulm, Ulm, Germany
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1974
  • Lastpage
    1981
  • Abstract
    In tracking applications objects are often regarded as point targets. For modern sensors the assumption that one object creates at most one measurement is often not fulfilled any more due to the increasing sensor resolution capabilities. Thus, an estimation of the number of objects is necessary. Using threshold based segmentations for the estimation leads to hard decisions. Using a fuzzy estimation and segmentation, hard decisions are avoided. In the proposed fuzzy segmentation method the segments are weighted according to the confidence in the segment. The results of the fuzzy segmentation are compared with the threshold based segmentation. Further, extended objects are created out of the fuzzy segments of two laser scanners.
  • Keywords
    fuzzy set theory; image resolution; image segmentation; image sensors; laser ranging; fuzzy estimation; image segmentation; laser range scans; Filtering; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image segmentation; Laser fusion; Laser modes; Optical control; Target tracking; Fuzzy logic; estimation; extended targets; laser scanner; segmentation; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203757