• DocumentCode
    682489
  • Title

    Low cost vision-based 3D localization system for indoor unmanned aerial vehicles

  • Author

    Andrean, Stefio Yosse ; Joelianto, Endra ; Widyotriatmo, Augie ; Adiprawita, Widyawardana

  • Author_Institution
    Eng. Phys. Study Program, ITB, Bandung, Indonesia
  • fYear
    2013
  • fDate
    25-27 Nov. 2013
  • Firstpage
    237
  • Lastpage
    241
  • Abstract
    The paper presents a method to determine a position of objects in three dimentional coordinates. The proposed method uses a vision-based localization using two low cost cameras. The formulation is derived by using a pin-hole camera principal to project a location of a point in a 2D image into 3D space. This method can be used for indoor unmanned aerial vehicles localization to provide position information for control and navigation purposes.
  • Keywords
    autonomous aerial vehicles; cameras; mobile robots; path planning; robot vision; telerobotics; indoor unmanned aerial vehicles localization; low cost vision-based 3D localization system; navigation; pin-hole camera; position information; three dimentional coordinates; Cameras; 3D Vision-based localization; pin-hole camera; quadrotor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
  • Conference_Location
    Jogjakarta
  • Print_ISBN
    978-1-4799-1206-3
  • Type

    conf

  • DOI
    10.1109/ROBIONETICS.2013.6743611
  • Filename
    6743611