• DocumentCode
    1870642
  • Title

    Driving skill characterization: A feasibility study

  • Author

    Zhang, Yilu ; Lin, William C. ; Chin, Yuen-Kwok Steve

  • Author_Institution
    GM R&D & Planning, Gen. Motors Corp., Warren, MI
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    2571
  • Lastpage
    2576
  • Abstract
    Information about driver´s driving skill can be used to adapt vehicle control parameters to facilitate the specific driver´s needs in terms of vehicle performance and driving pleasure. This paper presents an approach to driving skill characterization from a pattern-recognition perspective. The basic idea is to extract patterns that reflect the driver´s driving skill level from the measurements of the driver´s behavior and the vehicle response. The preliminary experimental results demonstrate the feasibility of using pattern recognition approach to characterize driver´s handling skill. This paper concludes with the discussions of the challenges and future works to bring the proposed technique to practical use.
  • Keywords
    driver information systems; pattern recognition; driver driving skill characterization; driver handling skill; driving pleasure; pattern recognition; vehicle control parameter; vehicle performance; vehicle response; Automatic control; Control systems; Delay; Discrete Fourier transforms; Motion control; Navigation; Pattern recognition; Robotics and automation; USA Councils; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543600
  • Filename
    4543600