Journal
SENSORS
Volume 17, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/s17112535
Keywords
robot audition; sound source localization; multiple signal classification; outdoor-environment measurement; real-time measurement; unmanned aerial vehicle
Funding
- JSPS (Japan Society for the Promotion of Science) KAKENHI Grant [16H02884, 16K00294, 17K00365]
- ImPACT (Impulsing Paradigm Change through Disruptive Technologies Program) of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan)
- Grants-in-Aid for Scientific Research [17K00365, 16K00294] Funding Source: KAKEN
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
