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Título
Feasibility of discriminating UAV propellers noise from distress signals to locate people in enclosed environments using MEMS microphone arrays
Autor
Año del Documento
2020
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
Sensors, 2020, vol. 20, n. 3, 597
Abstract
Detecting and finding people are complex tasks when visibility is reduced. This happens, for example, if a fire occurs. In these situations, heat sources and large amounts of smoke are generated. Under these circumstances, locating survivors using thermal or conventional cameras is not possible and it is necessary to use alternative techniques. The challenge of this work was to analyze if it is feasible the integration of an acoustic camera, developed at the University of Valladolid, on an unmanned aerial vehicle (UAV) to locate, by sound, people who are calling for help, in enclosed environments with reduced visibility. The acoustic array, based on MEMS (micro-electro-mechanical system) microphones, locates acoustic sources in space, and the UAV navigates autonomously by closed enclosures. This paper presents the first experimental results locating the angles of arrival of multiple sound sources, including the cries for help of a person, in an enclosed environment. The results are promising, as the system proves able to discriminate the noise generated by the propellers of the UAV, at the same time it identifies the angles of arrival of the direct sound signal and its first echoes reflected on the reflective surfaces.
Palabras Clave
Unmanned aerial vehicles
Vehículos aéreos no tripulados
Acoustic arrays
Matrices acústicas
People localization
Localización de personas
ISSN
1424-8220
Revisión por pares
SI
Patrocinador
Junta de Castilla y León (project VA082G18)
Version del Editor
Propietario de los Derechos
© 2020 The Authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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