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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Published in:OCEANS 2022, Hampton Roads
Main Authors: Zhao, Lin, Zhou, Mingxi, Loose, Brice
Format: Text
Language:unknown
Published: DigitalCommons@URI 2022
Subjects:
Online Access:https://digitalcommons.uri.edu/gsofacpubs/1834
https://doi.org/10.1109/OCEANS47191.2022.9977140
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spelling 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
institution Open Polar
collection University of Rhode Island: DigitalCommons@URI
op_collection_id ftunivrhodeislan
language unknown
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
container_start_page 1
op_container_end_page 8
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