RT info:eu-repo/semantics/article
T1 Feasibility of discriminating UAV propellers noise from distress signals to locate people in enclosed environments using MEMS microphone arrays
A1 Izquierdo Fuente, Alberto
A1 Val Puente, Lara del
A1 Villacorta Calvo, Juan José
A1 Zhen, Weikun
A1 Scherer, Sebastian
A1 Fang, Zheng
K1 Unmanned aerial vehicles
K1 Vehículos aéreos no tripulados
K1 Acoustic arrays
K1 Matrices acústicas
K1 People localization
K1 Localización de personas
AB 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.
PB MDPI
SN 1424-8220
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/53283
UL https://uvadoc.uva.es/handle/10324/53283
LA eng
NO Sensors, 2020, vol. 20, n. 3, 597
NO Producción Científica
DS UVaDOC
RD 11-jul-2024