Adaptive UAV Attitude Estimation Employing Unscented Kalman Filter, FOAM and Low-Cost MEMS Sensors

Navigation employing low cost MicroElectroMechanical Systems (MEMS) sensors in Unmanned Aerial Vehicles (UAVs) is an uprising challenge. One important part of this navigation is the right estimation of the attitude angles. Most of the existent algorithms handle the sensor readings in a fixed way, le...

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Detalles Bibliográficos
Autores principales: de Marina, Héctor García, Espinosa, Felipe, Santos, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444117/
https://www.ncbi.nlm.nih.gov/pubmed/23012559
http://dx.doi.org/10.3390/s120709566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444117/
https://www.ncbi.nlm.nih.gov/pubmed/23012559
http://dx.doi.org/10.3390/s120709566

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