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Failure Detection in Quadcopter UAVs Using K-Means Clustering

We propose an unmanned aerial vehicle (UAV) failure detection system as the first step of a three-step autonomous emergency landing safety framework for UAVs. We showed the effectiveness and feasibility of using vibration data with the k-means clustering algorithm in detecting mid-flight UAV failure...

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Detalles Bibliográficos
Autores principales:	Cabahug, James, Eslamiat, Hossein
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415667/ https://www.ncbi.nlm.nih.gov/pubmed/36015796 http://dx.doi.org/10.3390/s22166037

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