Autosub5: Preparing for Science-Reference-Cited by-同舟云学术

Autosub5: Preparing for Science

Published:2022-09-19 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)
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Author:

Consensi Alberto¹,Kingsland Matthew¹,Linton Nick¹,Bowring Leon¹,Roper Daniel T.¹,Austin-Berry Richard¹,Fairbairn Stewart¹,Johnson Alexis¹,Morrison Richard¹,Ciaramella Konrad¹,Matterson Daniel¹,Pebody Miles¹,Williams Val¹,Fanelli Francesco¹,Fenucci Davide¹,Martin Achille¹,hObain Eoin O¹,Ramdhanie Shivan¹,Sherif Rashiid¹,Morris Ashley¹,Phillips Alexander B.¹

Affiliation:

1. Marine Autonomous Robotic Systems, National Oceanography Centre,UK

Funder

Natural Environment Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9965753/9965766/09965894.pdf?arnumber=9965894

Reference21 articles.

1. Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current;garabato;Proceedings of the National Academy of Sciences,2019

2. Terrain-aided navigation for long-endurance and deep-rated autonomous underwater vehicles;salavasidis;Journal of Field Robotics,2019

3. Autosub Long Range AUV Missions Under the Filchner and Ronne Ice Shelves in the Weddell Sea, Antarctica - an Engineering Perspective

4. Autosub 2000 Under Ice: Design of a New Work Class AUV for Under Ice Exploration

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1. A multi-platform Guidance, Navigation and Control system for the autosub family of Autonomous Underwater Vehicles;Control Engineering Practice;2024-05

2. Squads of Adaptive Robots (SoAR): an architecture for operating heterogeneous fleets of marine robots;OCEANS 2023 - Limerick;2023-06-05

3. The MARS Portal - Monitoring UK Underwater Glider and AUV operations;OCEANS 2023 - Limerick;2023-06-05

4. An experimental comparison of Deep Learning strategies for AUV navigation in DVL-denied environments;Ocean Engineering;2023-04