• DocumentCode
    36705
  • Title

    A New Decentralized Bayesian Approach for Cooperative Vehicle Localization Based on Fusion of GPS and VANET Based Inter-Vehicle Distance Measurement

  • Author

    Rohani, Mohsen ; Gingras, Denis ; Vigneron, Vincent ; Gruyer, Dominique

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. de Sherbrooke, Sherbrooke, QC, Canada
  • Volume
    7
  • Issue
    2
  • fYear
    2015
  • fDate
    Summer 2015
  • Firstpage
    85
  • Lastpage
    95
  • Abstract
    Accurate and reliable vehicle localization is a key component of numerous automotive and Intelligent Transportation System (ITS) applications, including active vehicle safety systems, real time estimation of traffic conditions, and high occupancy tolling. Various safety critical vehicle applications in particular, such as collision avoidance or mitigation, lane change management or emergency braking assistance systems, rely principally on the accurate and reliable knowledge of vehicles? positioning within given vicinity.
  • Keywords
    Bayes methods; Global Positioning System; cooperative communication; mobility management (mobile radio); road traffic; vehicular ad hoc networks; GPS; VANET; active vehicle safety systems; collision avoidance; cooperative vehicle localization; decentralized Bayesian approach; emergency braking assistance systems; intelligent transportation system applications; inter-vehicle distance measurement; lane change management; occupancy tolling; safety critical vehicle applications; traffic conditions; Bayes methods; Intelligent vehicles; Real-time systems; Tracking; Vehicle detection; Vehicle safety;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1939-1390
  • Type

    jour

  • DOI
    10.1109/MITS.2015.2408171
  • Filename
    7091142