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 :
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