TY - GEN
T1 - Research on potential of sound-based direction sensing for drones
AU - Shin, Ha Young
AU - Jung, Jongtack
AU - Kim, Hwangnam
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01059151)
Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - Precise guidance of the drone to the desired destination is one of the most challenging issues. Specifically, logistics services need more accurate localization. However, this issue is yet to be resolved in spite of many studies. In this paper, we propose an acoustic sensing scheme of a drone's direction with respect to an arbitrary observer. The frequency shift caused by the relative velocity between the observer and the sound source, Doppler's effect, is used to find the direction. Our experiment's results show the directionality can be found accurately. Also, the outdoor field experiment shows significantly better results than indoor tests. All experiments demonstrate the feasibility of our approach.
AB - Precise guidance of the drone to the desired destination is one of the most challenging issues. Specifically, logistics services need more accurate localization. However, this issue is yet to be resolved in spite of many studies. In this paper, we propose an acoustic sensing scheme of a drone's direction with respect to an arbitrary observer. The frequency shift caused by the relative velocity between the observer and the sound source, Doppler's effect, is used to find the direction. Our experiment's results show the directionality can be found accurately. Also, the outdoor field experiment shows significantly better results than indoor tests. All experiments demonstrate the feasibility of our approach.
UR - http://www.scopus.com/inward/record.url?scp=84983301313&partnerID=8YFLogxK
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U2 - 10.1109/ICUFN.2016.7536987
DO - 10.1109/ICUFN.2016.7536987
M3 - Conference contribution
AN - SCOPUS:84983301313
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 82
EP - 84
BT - ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016
Y2 - 5 July 2016 through 8 July 2016
ER -