• DocumentCode
    1244238
  • Title

    Vehicle following as backup control schemes for magnet-magnetometer-based lateral guidance

  • Author

    Lu, Guang ; Tomizuka, Masayoshi

  • Author_Institution
    Dept. of Mech. Eng., Tulane Univ., New Orleans, LA, USA
  • Volume
    13
  • Issue
    2
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    274
  • Lastpage
    285
  • Abstract
    This paper describes the development of the backup vehicle lateral control algorithms for the magnet-magnetometer-based automated lateral guidance. Current vehicle lateral controllers rely on the use of two sets of magnetometers, one under the front bumper and the other under the rear bumper of the vehicle. The magnetometers measure the vehicle´s lane following error relative to the magnets buried along the center of the highway lane. The proposed algorithms, based on a laser scanning radar sensor (LIDAR), are backup systems for current magnetometer-based controllers in case of magnetometer failure. The LIDAR sensor measures the vehicle´s lateral position relative to its preceding vehicle. The paper considers two magnetometer failure scenarios, i.e., failure in only one set of magnetometers and failure in all magnetometers. Experimental results are presented.
  • Keywords
    automated highways; control engineering computing; optical radar; road traffic; road vehicles; sensors; LIDAR; backup control schemes; backup vehicle lateral control algorithms; laser scanning radar sensor; magnet-magnetometer-based lateral guidance; vehicle following; Automated highways; Automatic control; Laser radar; Magnetic sensors; Magnetometers; Magnets; Navigation; Optical control; Road vehicles; Sensor systems; Automated vehicle lateral guidance; laser scanning radar; single-input–two-output (SITO); vehicle following; vehicle steering control;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2004.839564
  • Filename
    1397762