Inicio  /  Applied Sciences  /  Vol: 10 Par: 14 (2020)  /  Artículo
ARTÍCULO
TITULO

Environment Classification for Unmanned Aerial Vehicle Using Convolutional Neural Networks

Carlos Villaseñor    
Alberto A. Gallegos    
Javier Gomez-Avila    
Gehová López-González    
Jorge D. Rios and Nancy Arana-Daniel    

Resumen

The approach presented in this paper is implemented in an autonomous UAV to provide the ability to change its path according to ground position and weather conditions, since sustaining an aircraft when flying through a dense cloud is not possible.

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