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
K1 unmanned aerial vehicle (UAV); acoustic array; people localization; environments with reduced visibility; enclosed environments
AB first_pagesettingsOrder Article ReprintsOpen AccessArticleFeasibility of Discriminating UAV Propellers Noise from Distress Signals to Locate People in Enclosed Environments Using MEMS Microphone Arraysby Alberto Izquierdo 1,*ORCID,Lara del Val 2ORCID,Juan J. Villacorta 1ORCID,Weikun Zhen 3,Sebastian Scherer 3 andZheng Fang 4ORCID1Signal Theory and Communications Department, University of Valladolid, 47011 Valladolid, Spain2Mechanical Engineering Area, Industrial Engineering School, University of Valladolid, 47011 Valladolid, Spain3Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15289, USA4Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China*Author to whom correspondence should be addressed.Sensors 2020, 20(3), 597; https://doi.org/10.3390/s20030597Submission received: 10 October 2019 / Revised: 9 January 2020 / Accepted: 17 January 2020 / Published: 21 January 2020(This article belongs to the Special Issue Sensors for Unmanned Aircraft Systems and Related Technologies)Downloadkeyboard_arrow_down Browse Figures Versions NotesAbstractDetecting 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.
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/67208
UL https://uvadoc.uva.es/handle/10324/67208
LA spa
NO Izquierdo, A.; del Val, L.; Villacorta, J.J.; Zhen, W.; Scherer, S.; Fang, Z. Feasibility of Discriminating UAV Propellers Noise from Distress Signals to Locate People in Enclosed Environments Using MEMS Microphone Arrays. Sensors 2020, 20, 597. https://doi.org/10.3390/s20030597
DS UVaDOC
RD 07-ago-2024