• DocumentCode
    2597393
  • Title

    Rotorcraft collision avoidance using spherical image-based visual servoing and single point features

  • Author

    McFadyen, Aaron ; Corke, Peter ; Mejias, Luis

  • Author_Institution
    Fac. of Sci. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    1199
  • Lastpage
    1205
  • Abstract
    This paper presents a reactive collision avoidance method for small unmanned rotorcraft using spherical image-based visual servoing. Only a single point feature is used to guide the aircraft in a safe spiral like trajectory around the target, whilst a spherical camera model ensures the target always remains visible. A decision strategy to stop the avoidance control is derived based on the properties of spiral like motion, and the effect of accurate range measurements on the control scheme is discussed. We show that using a poor range estimate does not significantly degrade the collision avoidance performance, thus relaxing the need for accurate range measurements. We present simulated and experimental results using a small quad rotor to validate the approach.
  • Keywords
    autonomous aerial vehicles; cameras; collision avoidance; feature extraction; robot vision; visual servoing; decision strategy; quad rotor; range measurements; reactive collision avoidance method; rotorcraft collision avoidance; single point features; spherical camera model; spherical image-based visual servoing; spiral like motion property; spiral like trajectory; unmanned rotorcraft; Aircraft; Azimuth; Cameras; Collision avoidance; Optical imaging; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6386164
  • Filename
    6386164