• DocumentCode
    1775916
  • Title

    Development of advanced driver assist systems using smart phones

  • Author

    Wei-Jue Guan ; Liang-Kuang Chen

  • Author_Institution
    Dept. of Mech. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2014
  • fDate
    6-8 June 2014
  • Firstpage
    176
  • Lastpage
    181
  • Abstract
    This study investigates the development of advanced driver assist systems (ADAS) using smart phones. The driver model parameters are estimated on-line based on the built-in sensors on the smart phone, including the GPS signals, camera, and the inertia measurement sensors (gyros and accelerometers). Further, the existing algorithms as presented in the literature will be employed to estimate the tire-road coefficient of friction based on the smart phone sensors, and the performance will be evaluated experimentally.
  • Keywords
    Global Positioning System; accelerometers; cameras; driver information systems; friction; gyroscopes; image processing; mobile computing; sensor fusion; smart phones; GPS signals; accelerometers; advanced driver assist systems; built-in sensors; camera; gyros; inertia measurement sensors; online driver model parameter estimation; smart phones; tire-road friction coefficient; Estimation; Force; Friction; Mathematical model; Roads; Smart phones; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics and Intelligent Systems (ARIS), 2014 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ARIS.2014.6871519
  • Filename
    6871519