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Sunflower: locating underwater robots from the air: video

Published: 27 June 2022 Publication History

Abstract

Locating underwater robots is fundamental for enabling important underwater applications. The current mainstream method requires a physical infrastructure with relays on the water surface, which is largely ad-hoc, introduces a significant logistical overhead, and entails limited scalability. Our work, Sunflower, is the first system demonstrating wireless, 3D localization across the air-water interface and eliminates the need for any sensing additional infrastructure. This demonstration video [1] evaluates the Sunflower system on a mobile drone and mobile underwater robot, showing the underwater robot's continuous ground-truth trajectory along with the Sunflower estimates at six discrete positions.

References

[1]
2022. Sunflower Demo Video. https://youtu.be/ofpqm2G2s_U.
[2]
Charles J. Carver, Qijia Shao, Samuel Lensgraf, Amy Sniffen, Maxine Perroni-Scharf, Hunter Gallant, Alberto Quattrini Li, and Xia Zhou. 2022. Sunflower: Locating Underwater Robots From the Air. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications, and Services.

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cover image ACM Conferences
MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
June 2022
668 pages
ISBN:9781450391856
DOI:10.1145/3498361
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2022

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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