• DocumentCode
    2713045
  • Title

    Fuzzy Blind-Spot scanner for automobiles

  • Author

    Qidwai, Uvais

  • Author_Institution
    Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
  • Volume
    2
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    758
  • Lastpage
    763
  • Abstract
    In this paper, an Intelligent Blind-Spot Sensing system is presented. This system exploits the power of sensor technology using multiple low-cost ultrasonic sensors to monitor the designated blind spots in a vehicle. In addition, an embedded Basic Stamp controller is used as the brain of the system that controls the actions of ultrasonic sensors as well as produces various warning alarms for the driver. The system uses a Fuzzy Inference System (FIS) as the main intelligence and the main decision logic of this system. Because of low-cost sensors, the readings are not very stable or precise all the time. It´s the interpretation of the sensor data through the FIS which is responsible for the correctness of the decision. This system will assist the drivers in safe- maneuvering to prevent accidents. The FIS is structured to incorporate human perceptive power in making a similar decision as to whether there is danger or not..
  • Keywords
    driver information systems; fuzzy reasoning; ultrasonic transducers; automobiles; decision logic; embedded basic stamp controller; fuzzy blind spot scanner; fuzzy inference system; human perceptive power; intelligent blind spot sensing system; low cost sensors; multiple low cost ultrasonic sensors; sensor technology power; ultrasonic sensors; warning alarms; Accidents; Automobiles; Control systems; Fuzzy logic; Fuzzy systems; Intelligent sensors; Intelligent systems; Monitoring; Sensor systems; Vehicles; Blind-spots; Fuzzy Classification; Intelligent Ranging; Ultrasonic Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356356
  • Filename
    5356356