Evaluation of data fusion algorithms for attitude estimation of unmanned aerial vehicles

The aim of this study was to evaluate and compare the three most commonly used data processing algorithms for Attitude and Heading Reference Systems (AHRS) for unmanned aerial vehicles (UAVs), which implement filtering processes and data fusion. These algorithms are the Kalman filter, Madgwick algor...

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Bibliographic Details

Main Author:	Chérigo, Cristóbal (author)
Other Authors:	Rodríguez, Humberto (author)
Format:	article
Language:	Spanish
Published:	2017
Subjects:	AHRS , data fusion algorithms, Madgwick algorithm, Mahony algorithm, UAVs, Kalman filter AHRS , algoritmos de fusión de datos, algoritmo de Madgwick, algoritmo de Mahony, UAVs, Filtro de Kalman
Online Access:	http://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/1719 http://ridda2.utp.ac.pa/handle/123456789/3297
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