Towards Under-ice Sensing using a Portable ROV
Unmanned Underwater Vehicles (UUVs) have a promising future to explore the polar regions. In this paper, we present our progress on developing a self-contain inertial odometry for under-ice navigation. Firstly, a microcontroller-based hardware time synchronization for multiple devices is demonstrate...
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ftunivrhodeislan:oai:digitalcommons.uri.edu:gsofacpubs-2804 2024-01-21T10:10:19+01:00 Towards Under-ice Sensing using a Portable ROV Zhao, Lin Zhou, Mingxi Loose, Brice 2022-01-01T08:00:00Z https://digitalcommons.uri.edu/gsofacpubs/1834 https://doi.org/10.1109/OCEANS47191.2022.9977140 unknown DigitalCommons@URI https://digitalcommons.uri.edu/gsofacpubs/1834 doi:10.1109/OCEANS47191.2022.9977140 https://doi.org/10.1109/OCEANS47191.2022.9977140 Graduate School of Oceanography Faculty Publications Marine Robotics Remotely Operated Vehicle (ROV) Time Synchronization Under-ice Navigation text 2022 ftunivrhodeislan https://doi.org/10.1109/OCEANS47191.2022.9977140 2023-12-25T19:10:01Z Unmanned Underwater Vehicles (UUVs) have a promising future to explore the polar regions. In this paper, we present our progress on developing a self-contain inertial odometry for under-ice navigation. Firstly, a microcontroller-based hardware time synchronization for multiple devices is demonstrated. Moreover, we present a new IMU, Doppler Velocity Log (DVL) and Pressure dead-reckoning (DR) for state estimation and a robust initialization approach for underwater vehciels. Field trials have been conducted in Utqiagvik, Alaska in March 2022 to gather multi-sensor data under the sea ice. In this paper, we highlight the performance of our method by comparing to the robot_localization algorithm, a widely used open-source localization algorithm. Text Sea ice Alaska University of Rhode Island: DigitalCommons@URI OCEANS 2022, Hampton Roads 1 8 |
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Open Polar |
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University of Rhode Island: DigitalCommons@URI |
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ftunivrhodeislan |
language |
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topic |
Marine Robotics Remotely Operated Vehicle (ROV) Time Synchronization Under-ice Navigation |
spellingShingle |
Marine Robotics Remotely Operated Vehicle (ROV) Time Synchronization Under-ice Navigation Zhao, Lin Zhou, Mingxi Loose, Brice Towards Under-ice Sensing using a Portable ROV |
topic_facet |
Marine Robotics Remotely Operated Vehicle (ROV) Time Synchronization Under-ice Navigation |
description |
Unmanned Underwater Vehicles (UUVs) have a promising future to explore the polar regions. In this paper, we present our progress on developing a self-contain inertial odometry for under-ice navigation. Firstly, a microcontroller-based hardware time synchronization for multiple devices is demonstrated. Moreover, we present a new IMU, Doppler Velocity Log (DVL) and Pressure dead-reckoning (DR) for state estimation and a robust initialization approach for underwater vehciels. Field trials have been conducted in Utqiagvik, Alaska in March 2022 to gather multi-sensor data under the sea ice. In this paper, we highlight the performance of our method by comparing to the robot_localization algorithm, a widely used open-source localization algorithm. |
format |
Text |
author |
Zhao, Lin Zhou, Mingxi Loose, Brice |
author_facet |
Zhao, Lin Zhou, Mingxi Loose, Brice |
author_sort |
Zhao, Lin |
title |
Towards Under-ice Sensing using a Portable ROV |
title_short |
Towards Under-ice Sensing using a Portable ROV |
title_full |
Towards Under-ice Sensing using a Portable ROV |
title_fullStr |
Towards Under-ice Sensing using a Portable ROV |
title_full_unstemmed |
Towards Under-ice Sensing using a Portable ROV |
title_sort |
towards under-ice sensing using a portable rov |
publisher |
DigitalCommons@URI |
publishDate |
2022 |
url |
https://digitalcommons.uri.edu/gsofacpubs/1834 https://doi.org/10.1109/OCEANS47191.2022.9977140 |
genre |
Sea ice Alaska |
genre_facet |
Sea ice Alaska |
op_source |
Graduate School of Oceanography Faculty Publications |
op_relation |
https://digitalcommons.uri.edu/gsofacpubs/1834 doi:10.1109/OCEANS47191.2022.9977140 https://doi.org/10.1109/OCEANS47191.2022.9977140 |
op_doi |
https://doi.org/10.1109/OCEANS47191.2022.9977140 |
container_title |
OCEANS 2022, Hampton Roads |
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1 |
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