• DocumentCode
    1057798
  • Title

    Using Fuzzy Logic in Automated Vehicle Control

  • Author

    Naranjo, José E. ; Sotelo, Miguel A. ; González, Carlos ; García, Ricardo ; Sotelo MA

  • Author_Institution
    Instituto de Autom. Industrial, Madrid
  • Volume
    22
  • Issue
    1
  • fYear
    2007
  • Firstpage
    36
  • Lastpage
    45
  • Abstract
    Automated versions of a mass-produced vehicle use fuzzy logic techniques to both address common challenges and incorporate human procedural knowledge into the vehicle control algorithms. In-vehicle computing has been largely relegated to auxiliary tasks such as regulating cabin temperature, opening doors, and monitoring fuel, oil, and battery-charge levels. However, computers are increasingly assuming driving-related tasks in some commercial models. Among those tasks are: maintaining a reference velocity or keeping a safe distance from other vehicles; improving night vision with infrared cameras; and building maps and providing alternative routes
  • Keywords
    automated highways; automobile industry; automobiles; control engineering computing; fuzzy logic; AUTOPIA program; automated vehicle control; automotive industry; driving related tasks; fuzzy logic; in-vehicle computing; mass produced vehicle; Automatic control; Cameras; Computerized monitoring; Fuels; Fuzzy logic; Humans; Night vision; Petroleum; Temperature; Vehicle safety; autonomous vehicles; fuzzy control; machine vision; road vehicle control;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2007.18
  • Filename
    4078954