• DocumentCode
    2618140
  • Title

    A novel system for Advanced Driver Assistance Systems

  • Author

    Sarshar, Mohammadreza ; Rezaei, Mahdi

  • Author_Institution
    Comput. Eng. Dept., Azad Univ., Karaj, Iran
  • fYear
    2010
  • fDate
    5-8 April 2010
  • Firstpage
    529
  • Lastpage
    534
  • Abstract
    The complexity of the driving task and uncertainty of the driving environment make driving as a very dangerous task. Various investigations show that speeding and lane departure are two main causes of road accidents. These would be more challenging in curvy roads. The paper describes a multi sensor systematic framework to solve the mentioned problem and a novel deployment for a network of multi-sensors is introduced. Some of implemented sensors are curve sensors, distance sensor, vision sensor and weather sensors as well as an indoor camera to control awareness of driver. To perform this work, we are using the Matlab fuzzy logic toolkit, which is a simple and flexible tool to design fuzzy inference systems.
  • Keywords
    driver information systems; fuzzy logic; fuzzy reasoning; fuzzy systems; sensor fusion; Matlab fuzzy logic toolkit; advanced driver assistance systems; curve sensors; distance sensor; fuzzy inference systems; indoor camera; lane departure; multisensor systematic framework; road accidents; vision sensor; weather sensors; Advanced Driver Assistance Systems; Driver Monitoring; Fuzzy Data Fusion; Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference, 2010 4th Annual IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5882-0
  • Type

    conf

  • DOI
    10.1109/SYSTEMS.2010.5482319
  • Filename
    5482319