• DocumentCode
    2584979
  • Title

    Land Mine Detecting Robot Capable of Path Planning

  • Author

    Zubair, Muhammad ; Choudhry, Mohammad Ahmad

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Eng. & Technol., Taxila, Taxila, Pakistan
  • Volume
    1
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    The Landmine detecting robots are designed to cover maximum possible area of landmine field for detection of landmines. The detected landmines along with scanned and leftover area are represented on a visual map with accuracy in millimeters. This paper presents a prototype model of land mine detecting robot that is powerful yet low cost and easily controllable. A graphical user interface is developed for plotting the landmines, scanned & leftover area presentation, PID tuning and camera alignment. Emphasis is placed on the control of the differential drive robot in auto mode, semi-auto mode and the manual mode. Image processing technique is employed to find the accurate position of robot which provides the live reckoning feedback to the dead reckoning servo control of the robot. Metal detector is the sensor used to detect landmines. The graphical user interface for the remote terminal computer provides the effective control for the robot. The system is simple but powerful and intelligible to achieve the required results.
  • Keywords
    graphical user interfaces; landmine detection; mobile robots; path planning; robot vision; PID tuning; camera alignment; differential drive robot; graphical user interface; image processing; land mine detecting robot; metal detector; path planning; servo control; visual map; Cameras; Landmine detection; Mobile robots; Robot vision systems; Visualization; Wheels; Graphical user interface; Mine detection; PIC microcontroller; image processing; robot path mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.34
  • Filename
    5718256