• DocumentCode
    3125584
  • Title

    Traffic monitor using two multiple-beam laser radars

  • Author

    Nishizawa, Shinichi ; Cheok, Ka C. ; Young, William J. ; Zhao, Wei

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
  • fYear
    1997
  • fDate
    9-12 Nov 1997
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    A typical laser radar for detecting automobiles on highways has a very narrow beam that limits its ability to detect any targets outside its detecting zone. A multiple-beam laser radar provides a wider long-distance target detection region, but still suffers from close range problems. This paper demonstrates how two multiple-narrow beam laser radar units were extended to produce a smooth traffic monitoring coverage over a relatively wide frontal area. Dynamic information was extracted from measurement data by Kalman filters, and correlated using a dynamic clustering method. Actual experiments on a military truck were used to validate the concepts
  • Keywords
    Kalman filters; distance measurement; monitoring; optical radar; pattern recognition; road traffic; Kalman filters; automobiles detection; dynamic clustering method; dynamic information extraction; long-distance target detection; military truck; multiple-beam laser radars; smooth traffic monitoring coverage; traffic monitor; Automobiles; Clustering methods; Data mining; Laser beams; Laser radar; Monitoring; Object detection; Radar detection; Road transportation; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7803-4269-0
  • Type

    conf

  • DOI
    10.1109/ITSC.1997.660473
  • Filename
    660473