• DocumentCode
    292474
  • Title

    Proper selection of sonar and visual sensors for vehicle detection and avoidance

  • Author

    Charkari, N. Moghadam ; Ishii, Kazunari ; Mori, Hideo

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Yamanashi Univ., Kofu, Japan
  • Volume
    2
  • fYear
    1994
  • fDate
    12-16 Sep 1994
  • Firstpage
    1110
  • Abstract
    The general paradigm for vehicle detection and avoidance by proper selection of visual and sonar sensors are proposed. The most appropriate sensor for robot detection and navigation is properly selected depending on its functions. Four types of actions based on stereo-typed motion are used for the navigation of the robot: moving along wall, moving alone;, moving forward and tracking motion. The first approach is based on sonar, and the remaining are vision based actions. The visual detection of vehicle is based on the locomotion strategy: the sign pattern based stereo-typed motion. The sign pattern of vehicle is the shadow underneath the vehicle which is darker than any other parts of the asphalt paved road. The robot detects the sign pattern of vehicle from the distance of 30m and extracts its front shape in real time processing
  • Keywords
    feature extraction; mobile robots; navigation; object recognition; path planning; real-time systems; robot vision; sonar; feature extraction; mobile robots; real time processing; robot navigation; sign pattern; sonar; vehicle avoidance; vehicle detection; visual sensor; Intelligent sensors; Layout; Mobile robots; Road vehicles; Robot sensing systems; Sensor fusion; Sonar detection; Sonar navigation; Tactile sensors; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-1933-8
  • Type

    conf

  • DOI
    10.1109/IROS.1994.407528
  • Filename
    407528