• DocumentCode
    182863
  • Title

    Railway track following with the AR.Drone using vanishing point detection

  • Author

    Pall, Elod ; Mathe, Koppany ; Tamas, Levente ; Busoniu, L.

  • Author_Institution
    Dept. of Autom., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2014
  • fDate
    22-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Unmanned aerial vehicles are increasingly being used and showing their advantages in many domains. However, their application to railway systems is very little studied. In this paper, we focus on controlling an AR.Drone UAV in order to follow the railway track. The method developed relies on vision-based detection and tracking of the vanishing point of the railway tracks, overhead lines, and other related lines in the image, coupled with a controller that adjusts the yaw so as to keep the vanishing point in the center of the image. Simulation results illustrate that the method is effective, and are complemented by vanishing-point tracking results on real images.
  • Keywords
    autonomous aerial vehicles; object detection; object tracking; robot vision; AR.Drone UAV control; overhead lines; railway track following systems; real images; unmanned aerial vehicles; vision-based vanishing point detection; vision-based vanishing point tracking; Estimation; Image edge detection; Kalman filters; Noise; Rail transportation; Rails; Tuning; Unmanned aerial vehicle; flight control; railway system; vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-3731-8
  • Type

    conf

  • DOI
    10.1109/AQTR.2014.6857870
  • Filename
    6857870