• DocumentCode
    392069
  • Title

    Automatic mirror adjustment system using a driver´s pupils

  • Author

    Rho, K.H. ; Park, K.H. ; Han, M.H.

  • Author_Institution
    Dept. of Ind. Syst. & Inf. Eng., Korea Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    2002
  • fDate
    17-21 June 2002
  • Firstpage
    251
  • Abstract
    This paper describes an automatic mirror adjustment system that rotates a pair of side mirrors and the room mirror of a car to the optimal position for a driver by using the location of the driver´s pupils. A stereo vision system measures the 3D coordinates of a pair of pupils by analyzing the input images of stereo B/W CCD cameras mounted on the instrument panel. This system determines the position angle of each mirror on the basis of information about the location of the pupils and rotates each mirror to the appropriate position by mirror actuators. The vision system can detect the driver´s pupils regardless of whether it is daytime or nighttime by virtue of an infrared light source. Information about the pair of nostrils is used to improve the correctness of pupil detection. This system can adjust side mirrors and the room mirror automatically and rapidly by a simple interface regardless of driver replacement or driver´s posture, Experiment has shown this to be a new mirror adjustment system that can make up for the weak points of previous mirror adjustment systems.
  • Keywords
    CCD image sensors; attitude control; automotive electronics; eye; face recognition; infrared imaging; position control; transport control; 3D coordinate measurement; IR light source; automatic mirror adjustment system; driver pupils; infrared light source; instrument panel; mirror actuators; nostrils; room mirror rotation; side mirror rotation; stereo B/W CCD cameras; stereo vision system; Actuators; Charge coupled devices; Charge-coupled image sensors; Coordinate measuring machines; Image analysis; Infrared detectors; Instruments; Machine vision; Mirrors; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicle Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7346-4
  • Type

    conf

  • DOI
    10.1109/IVS.2002.1187960
  • Filename
    1187960