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Localización de personas mediante sensores inerciales y su fusión con otras tecnologías

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Figure

Figura 2.1: Esquema general de algoritmos de posicionamiento por sensores inerciales.
Figura 2.4: An´alisis de la Varianza de Allan del aceler´ ometro (a) y el gir´ oscopo (b) de la IMU MTi de XSense
Figura 2.5: Segmento de la aceleraci´ on y giros grabados durante el caminado.
Figura 2.6: Comparaci´on de diferentes m´etodos de estimaci´ on de la propagaci´on de la media y la covarianza en filtros Bayesianos
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