A Performance Assessment on Rotor Noise-Informed Active Multidrone Sound Source Tracking Methods
Author:
Affiliation:
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. Honda Research Institute Japan Co., Ltd., 8-1 Honcho, Wako, Saitama 351-0188, Japan
Abstract
Funder
Japan Society for the Promotion of Science
Fukushima institute for Research, Education and Innovation
Publisher
MDPI AG
Link
https://www.mdpi.com/2504-446X/8/6/266/pdf
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3. Design and assessment of sound source localization system with a UAV-embedded microphone array;Hoshiba;J. Robot. Mechatronics,2017
4. Martinez-Carranza, J., and Rascon, C. (2020). A review on auditory perception for unmanned aerial vehicles. Sensors, 20.
5. Robot audition and computational auditory scene analysis;Nakadai;Adv. Intell. Syst.,2020
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