The full text of this article
Image matching applied to autonomous navigation of unmanned aerial vehicles
by C.A.O. Silva; G.A.M. Goltz; E.H. Shiguemori; C.L. De Castro; H.F. De C. Velho; A.P. De Braga
International Journal of High Performance Systems Architecture (IJHPSA), Vol. 6, No. 4, 2016
Abstract: This paper brings results of an image matching approach applied to the estimation of position for autonomous navigation of unmanned aerial vehicles (UAVs). The main idea is to replace the global positioning system (GPS) signal by matching the onboard video to a georeferenced satellite image. Image processing techniques and edge descriptors are considered in order to achieve robustness to different sensors and luminosity conditions. The UAV position is then calculated by finding the pixel in the georeferenced image providing a higher spatial correlation to the image captured at flight time. The evaluation of our vision system takes into account different kinds of terrains, such as in forests, roads and urban areas and its capacity to follow real routes specified in a flight simulator. The results obtained are promising and indicate that our methodology can be used in substitution for GPS on real flights.
Online publication date: Fri, 20-Jan-2017
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Systems Architecture (IJHPSA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email email@example.com