• DocumentCode
    3099676
  • Title

    A novel method of automatic vehicle detection based on active magnetic theory

  • Author

    Yalong, Lei ; Bin, Li ; Zhiqiang, Wu

  • Author_Institution
    Marine Coll., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    18-19 Oct. 2010
  • Abstract
    This paper presents a novel method of automatic vehicle detection based on active magnetic theory to provide traffic information and inform drivers making better route decisions. The active magnetic detector contains an emission antenna and a receiver sensor. The emission antenna radiates AC magnetic field continuously. When a vehicle body moves over the detector, eddy current is formed in the vehicle body and the eddy current generates eddy magnetic field, then the magnetic field around the receiver sensor is changed. The detector confirms a vehicle body by measuring whether the magnetic field around is changed or not. The method can detect cars at a rate of 96%. Especially, the baseline drift problem which always appears in geomagnetic vehicle detector has been solved by using adaptive baseline updating method in this paper.
  • Keywords
    driver information systems; eddy currents; magnetic sensors; object detection; receiving antennas; vehicles; AC magnetic field; active magnetic theory; automatic vehicle detection; baseline drift problem; baseline updating method; eddy current; emission antenna; geomagnetic vehicle detector; magnetic detector; receiver sensor; traffic information; vehicle body; Adaptive arrays; Receiving antennas; Active Magnetic Theory; Adaptive Baseline Updating; Automatic Vehicle Detection; Eddy Magnetc Field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking and Automation (ICINA), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8104-0
  • Electronic_ISBN
    978-1-4244-8106-4
  • Type

    conf

  • DOI
    10.1109/ICINA.2010.5636488
  • Filename
    5636488