• DocumentCode
    3681733
  • Title

    Algorithm for Driver Intention Detection with Fuzzy Logic and Edit Distance

  • Author

    Jens Heine;Michael Sylla;Ingmar Langer;Thomas Schramm;Bettina Abendroth;Ralph Bruder

  • Author_Institution
    Human Factors Center, Adam Opel AG, Ruesselsheim, Germany
  • fYear
    2015
  • Firstpage
    1022
  • Lastpage
    1027
  • Abstract
    Driver intention detection is helpful to parameterize advanced driver assistance systems to reduce the warning dilemma and so to raise the driver´s acceptance for such systems. An algorithm to predict driver´s intention with Fuzzy Logic and Edit Distance is presented. The main features and the functionality is explained. The necessary steps for training and validation of the algorithm are presented. The performance of the first configuration is discussed and the future steps for improving the performance are shown.
  • Keywords
    "Vehicles","Prediction algorithms","Input variables","Algorithm design and analysis","Roads","Databases","Fuzzy logic"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
  • ISSN
    2153-0009
  • Electronic_ISBN
    2153-0017
  • Type

    conf

  • DOI
    10.1109/ITSC.2015.170
  • Filename
    7313262