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...
| Autores Principales: | Chérigo, Cristóbal, Rodríguez, Humberto |
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| Formato: | Artículo |
| Idioma: | Español |
| Publicado: |
Universidad Tecnológica de Panamá
2017
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| Materias: | |
| Acceso en línea: |
http://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/1719 http://ridda2.utp.ac.pa/handle/123456789/3297 |