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Journal of Sensors
Volume 2017, Article ID 3296874, 13 pages
https://doi.org/10.1155/2017/3296874
Review Article

A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Politécnica de Madrid, Calle José Gutiérrez Abascal 2, 28006 Madrid, Spain

Correspondence should be addressed to Adrian Carrio; se.mpu@oirrac.nairda

Received 28 April 2017; Accepted 18 June 2017; Published 14 August 2017

Academic Editor: Vera Tyrsa

Copyright © 2017 Adrian Carrio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Adrian Carrio, Carlos Sampedro, Alejandro Rodriguez-Ramos, and Pascual Campoy, “A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles,” Journal of Sensors, vol. 2017, Article ID 3296874, 13 pages, 2017. https://doi.org/10.1155/2017/3296874.