• DocumentCode
    1452024
  • Title

    Robust course-boundary extraction algorithms for autonomous vehicles

  • Author

    Roman, Chris ; Reinholtz, Charles

  • Author_Institution
    Structural Syst. & Control Group, California Univ., San Diego, La Jolla, CA, USA
  • Volume
    13
  • Issue
    6
  • fYear
    1998
  • Firstpage
    32
  • Lastpage
    39
  • Abstract
    Practical autonomous robotic vehicles require dependable methods for accurately identifying course or roadway boundaries. The authors have developed a method to reliably extract the boundary line using simple dynamic thresholding, noise filtering, and blob removal. This article describes their efforts to apply this procedure in developing an autonomous vehicle
  • Keywords
    computer vision; driver information systems; autonomous robotic vehicles; autonomous vehicles; blob removal; boundary line extraction; dynamic thresholding; noise filtering; robust course-boundary extraction algorithms; Asphalt; Charge coupled devices; Hardware; Machine vision; Mobile robots; Navigation; Power system reliability; Remotely operated vehicles; Robustness; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.736000
  • Filename
    736000
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1452024