• DocumentCode
    681106
  • Title

    Hierarchical PWARX modeling of obstacle avoidance and steering skill of human driver

  • Author

    Konaka, Eiji ; Okuda, Hiroyuki ; Suzuki, Tatsuya

  • Author_Institution
    Department of Information Engineering, Meijo University, Nagoya, Japan
  • fYear
    2013
  • fDate
    14-17 Sept. 2013
  • Firstpage
    1437
  • Lastpage
    1442
  • Abstract
    The identification of both the states and the skills of drivers has been actively investigated over several decades. The identification of a driver´s skills and its application to driver assistance have been proposed in recent studies. In these studies, it was assumed that different aspects of driving skill can be expressed by switching a number of simple control rules according to the situation. In this study, the driver is assigned the task of steering the vehicle toward a destination while avoiding an obstacle. The steering skill of the driver is evaluated using a previously proposed hierarchical modeling method. The objective of this study is to extract the skill of the driver in a mathematically interpretable form. A number of experiments are conducted in order to verify the validity of the proposed framework.
  • Keywords
    Clustering algorithms; Educational institutions; Mathematical model; Switches; Trajectory; Vectors; Vehicles; driver skill; obstacle avoidance; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2013 Proceedings of
  • Conference_Location
    Nagoya, Japan
  • Type

    conf

  • Filename
    6736274