A Two-Step Sensor Fusion Methodology to Assess Damage on Drone Propellers by Audio and Radar Measurements

Safety in the operation of Unmanned Aerial Vehicles (UAVs) is emerging as an increasingly important requirement to avoid accidents or possible hazards, because of the growing number and variety of applications that make use of such systems. Consequently, the ability to detect and classify damages oc...

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Principais autores:	Gianluca Ciattaglia, Giacomo Peruzzi, Matteo Bertocco, Valeria Bruschi, Stefania Cecchi, Grazia Iadarola, Alessandro Pozzebon, Susanna Spinsante
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-02-01
Series:	Sensors
Assuntos:	unmanned aerial vehicle fault detection embedded machine learning audio signals MEMS microcontroller
Acceso en liña:	https://www.mdpi.com/1424-8220/26/5/1429
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