Next Article in Journal
Design and Analysis of a Data Fusion Scheme in Mobile Wireless Sensor Networks Based on Multi-Protocol Mobile Agents
Next Article in Special Issue
Designing and Testing a UAV Mapping System for Agricultural Field Surveying
Previous Article in Journal
Design Optimisation of a Magnetic Field Based Soft Tactile Sensor
Previous Article in Special Issue
Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV)
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(11), 2535; https://doi.org/10.3390/s17112535

Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments

1
Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan
2
Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan
3
Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
4
Honda Research Institute Japan Co., Ltd., 8-1 Honcho, Wako, Saitama 351-0188, Japan
5
Graduate Program for Embodiment Informatics, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
This is the extended version of Development of Microphone-Array-Embedded UAV for Search and Rescue Task, Kazuhiro Nakadai, Makoto Kumon, Hiroshi G. Okuno, Kotaro Hoshiba, Mizuho Wakabayashi, Kai Washizaki, Takahiro Ishiki, Daniel Gabriel, Yoshiaki Bando, Takayuki Morito, Ryosuke Kojima, Osamu Sugiyama, IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, BC, Canada, 24–28 September 2017.
Current address: LIXIL Corporation, 2-1-1 Ojima, Koto-ku, Tokyo 136-8535, Japan.
*
Author to whom correspondence should be addressed.
Received: 7 October 2017 / Revised: 30 October 2017 / Accepted: 30 October 2017 / Published: 3 November 2017
(This article belongs to the Special Issue UAV or Drones for Remote Sensing Applications)
View Full-Text   |   Download PDF [3316 KB, uploaded 7 November 2017]   |  

Abstract

In search and rescue activities, unmanned aerial vehicles (UAV) should exploit sound information to compensate for poor visual information. This paper describes the design and implementation of a UAV-embedded microphone array system for sound source localization in outdoor environments. Four critical development problems included water-resistance of the microphone array, efficiency in assembling, reliability of wireless communication, and sufficiency of visualization tools for operators. To solve these problems, we developed a spherical microphone array system (SMAS) consisting of a microphone array, a stable wireless network communication system, and intuitive visualization tools. The performance of SMAS was evaluated with simulated data and a demonstration in the field. Results confirmed that the SMAS provides highly accurate localization, water resistance, prompt assembly, stable wireless communication, and intuitive information for observers and operators. View Full-Text
Keywords: robot audition; sound source localization; multiple signal classification; outdoor-environment measurement; real-time measurement; unmanned aerial vehicle robot audition; sound source localization; multiple signal classification; outdoor-environment measurement; real-time measurement; unmanned aerial vehicle
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Hoshiba, K.; Washizaki, K.; Wakabayashi, M.; Ishiki, T.; Kumon, M.; Bando, Y.; Gabriel, D.; Nakadai, K.; Okuno, H.G. Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments. Sensors 2017, 17, 2535.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top