• DocumentCode
    3648364
  • Title

    ADES: Automatic Driver Evaluation System

  • Author

    Kemal Kaplan;Caner Kurtul;H. Levent Akin

  • Author_Institution
    Department of Computer Engineering, Boğ
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    442
  • Lastpage
    447
  • Abstract
    Most of the traffic accidents occurred in the world and in our country are caused by the drivers. ADES (Automatic Driver Evaluation System) project targets to present a framework for integrating different applications for driver evaluation purpose. The proposed system can be divided into two main modules. The first one, which is the data acquisition and processing module, acquires the sensor information from the outside world and process this data for presenting valuable information to the decision system. The system may benefit from standard vehicle sensors like cameras or GPS (Global Positioning System) systems as well as non standard devices like RFID (Radio Frequency Identification) readers. The second module is the inference engine, which processes the information provided by the first module and makes judgments about the actions of the driver. A sample implementation of the proposed framework is also tested in the simulation environment and by using real video recordings.
  • Keywords
    "Vehicles","Engines","Expert systems","Accidents","Radio frequency","Roads","Detectors"
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
  • Print_ISBN
    978-1-4673-0992-9
  • Type

    conf

  • DOI
    10.1109/ICVES.2012.6294271
  • Filename
    6294271