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
Link To Document