• DocumentCode
    164087
  • Title

    Close-quarters Quadrotor flying for a pole inspection with position based visual servoing and high-speed vision

  • Author

    Inkyu Sa ; Corke, Peter

  • Author_Institution
    CyPhy Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2014
  • fDate
    27-30 May 2014
  • Firstpage
    623
  • Lastpage
    631
  • Abstract
    This paper presents a 100 Hz monocular position based visual servoing system to control a quadrotor flying in close proximity to vertical structures approximating a narrow, locally linear shape. Assuming the object boundaries are represented by parallel vertical lines in the image, detection and tracking is achieved using Plücker line representation and a line tracker. The visual information is fused with IMU data in an EKF framework to provide fast and accurate state estimation. A nested control design provides position and velocity control with respect to the object. Our approach is aimed at high performance on-board control for applications allowing only small error margins and without a motion capture system, as required for real world infrastructure inspection. Simulated and ground-truthed experimental results are presented.
  • Keywords
    Kalman filters; aerospace robotics; aircraft control; helicopters; inspection; nonlinear filters; position control; robot vision; velocity control; visual servoing; EKF framework; IMU data; Plücker line representation; close-quarters quadrotor; frequency 100 Hz; high performance on-board control; high-speed vision; infrastructure inspection; line tracker; linear shape; monocular position; nested control design; parallel vertical lines; pole inspection; position based visual servoing; position control; quadrotor control; state estimation; velocity control; vertical structures; visual information; visual servoing system; Cameras; Computational modeling; Estimation; Mathematical model; Sensors; Vectors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/ICUAS.2014.6842306
  • Filename
    6842306