• DocumentCode
    3118710
  • Title

    Visual-based guiding method for unmanned helicopter approaching to landmark

  • Author

    Hsia, Kuo-Hsien ; Lien, Shao-Fan ; Su, Juhng-Perng

  • Author_Institution
    Dept. of Manage. Inf. Syst., Far East Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    984
  • Lastpage
    991
  • Abstract
    This paper proposes an image-guided method for estimating the position of an AUH (autonomous unmanned helicopter) from one captured landmark image. The proposed method is intended for application as auxiliary information for the guidance of an AUH during approach of a landmark based landing. The relation between the camera position and landmark image can be analyzed by projective geometry with the provision of sufficient landmark features. ANFIS is utilized for establishing the mapping relation and establishing a fuzzy model for efficient camera position estimation. The proposed method provides a highly accurate method of AUH guidance during landmark approach.
  • Keywords
    aircraft landing guidance; cameras; feature extraction; fuzzy set theory; helicopters; motion estimation; remotely operated vehicles; ANFIS; AUH; autonomous unmanned helicopter; camera position estimation; fuzzy model; image-guided method; landing guidance; landmark features; landmark image; projective geometry; visual based guiding method; Cameras; Estimation; Feature extraction; Geometry; Global Positioning System; Helicopters; Image segmentation; ANFIS; camera position estimation; incomplete landmark image; visual-based guiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007427
  • Filename
    6007427