Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 82-84 |
| Number of pages | 3 |
| Volume | 2016-August |
| ISBN (Electronic) | 9781467399913 |
| DOIs | |
| Publication status | Published - 2016 Aug 9 |
| Event | 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 - Vienna, Austria Duration: 2016 Jul 5 → 2016 Jul 8 |
Other
| Other | 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 |
|---|---|
| Country | Austria |
| City | Vienna |
| Period | 16/7/5 → 16/7/8 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
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Cite this
Shin, H. Y., Jung, J., & Kim, H. (2016). Research on potential of sound-based direction sensing for drones. In ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks (Vol. 2016-August, pp. 82-84). [7536987] IEEE Computer Society. https://doi.org/10.1109/ICUFN.2016.7536987