Abstract
Ocean gliders are autonomous underwater vehicles typically employed in data collection of water column properties and ocean conditions. These underwater vehicles typically cover extremely large distances at low speeds for long period missions. To facilitate global navigation satellite system fixes for the glider positioning, they must break the water surface and establish line-of-sight contact with the satellites. Breaking the sea surface is energetically expensive, exposes the glider to the disturbing force of waves altering its trajectory, and exposes it to possible sea surface hazards. Consequently, minimizing the frequency of the periodic satellite fixes would significantly enhance the glider's efficiency and mission safety. To cope with this problem, in this paper we propose GliderNet, an end-to-end framework utilizing accelerometer readings to regress the glider depth and distance.
Original language | English |
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Title of host publication | 2023 IEEE International Symposium on Underwater Technology, UT 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350331752 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE International Symposium on Underwater Technology, UT 2023 - Tokyo, Japan Duration: 6 Mar 2023 → 9 Mar 2023 |
Publication series
Name | 2023 IEEE International Symposium on Underwater Technology, UT 2023 |
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Conference
Conference | 2023 IEEE International Symposium on Underwater Technology, UT 2023 |
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Country/Territory | Japan |
City | Tokyo |
Period | 6/03/23 → 9/03/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Accelerometers
- Deep Learning
- Navigation
- Ocean Gilder
ASJC Scopus subject areas
- Oceanography
- Automotive Engineering
- Acoustics and Ultrasonics
- Instrumentation