Advanced perception, navigation and planning for autonomous in-water ship hull inspection

Inspection of ship hulls and marine structures using autonomous underwater vehicles has emerged as a unique and challenging application of robotics. The problem poses rich questions in physical design and operation, perception and navigation, and planning, driven by difficulties arising from the aco...

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Main Authors: Hover, Franz S., Eustice, Ryan M., Kim, Ayoung, Englot, Brendan J., Johannsson, Hordur, Kaess, Michael, Leonard, John Joseph
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Sage Publications 2013
Online Access:http://hdl.handle.net/1721.1/78589
https://orcid.org/0000-0002-8863-6550
https://orcid.org/0000-0002-2621-7633
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author Hover, Franz S.
Eustice, Ryan M.
Kim, Ayoung
Englot, Brendan J.
Johannsson, Hordur
Kaess, Michael
Leonard, John Joseph
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Hover, Franz S.
Eustice, Ryan M.
Kim, Ayoung
Englot, Brendan J.
Johannsson, Hordur
Kaess, Michael
Leonard, John Joseph
author_sort Hover, Franz S.
collection MIT
description Inspection of ship hulls and marine structures using autonomous underwater vehicles has emerged as a unique and challenging application of robotics. The problem poses rich questions in physical design and operation, perception and navigation, and planning, driven by difficulties arising from the acoustic environment, poor water quality and the highly complex structures to be inspected. In this paper, we develop and apply algorithms for the central navigation and planning problems on ship hulls. These divide into two classes, suitable for the open, forward parts of a typical monohull, and for the complex areas around the shafting, propellers and rudders. On the open hull, we have integrated acoustic and visual mapping processes to achieve closed-loop control relative to features such as weld-lines and biofouling. In the complex area, we implemented new large-scale planning routines so as to achieve full imaging coverage of all the structures, at a high resolution. We demonstrate our approaches in recent operations on naval ships.
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spelling mit-1721.1/785892022-10-03T09:13:01Z Advanced perception, navigation and planning for autonomous in-water ship hull inspection Hover, Franz S. Eustice, Ryan M. Kim, Ayoung Englot, Brendan J. Johannsson, Hordur Kaess, Michael Leonard, John Joseph Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Mechanical Engineering Hover, Franz S. Englot, Brendan J. Johannsson, Hordur Kaess, Michael Leonard, John Joseph Inspection of ship hulls and marine structures using autonomous underwater vehicles has emerged as a unique and challenging application of robotics. The problem poses rich questions in physical design and operation, perception and navigation, and planning, driven by difficulties arising from the acoustic environment, poor water quality and the highly complex structures to be inspected. In this paper, we develop and apply algorithms for the central navigation and planning problems on ship hulls. These divide into two classes, suitable for the open, forward parts of a typical monohull, and for the complex areas around the shafting, propellers and rudders. On the open hull, we have integrated acoustic and visual mapping processes to achieve closed-loop control relative to features such as weld-lines and biofouling. In the complex area, we implemented new large-scale planning routines so as to achieve full imaging coverage of all the structures, at a high resolution. We demonstrate our approaches in recent operations on naval ships. United States. Office of Naval Research (Grant N00014-06-10043) United States. Office of Naval Research (Grant N00014-07-1-0791) 2013-04-24T17:02:02Z 2013-04-24T17:02:02Z 2013-04-24 Article http://purl.org/eprint/type/JournalArticle 0278-3649 1741-3176 http://hdl.handle.net/1721.1/78589 Hover, F. S. et al. “Advanced Perception, Navigation and Planning for Autonomous In-water Ship Hull Inspection.” The International Journal of Robotics Research 31.12 (2012): 1445–1464. https://orcid.org/0000-0002-8863-6550 https://orcid.org/0000-0002-2621-7633 en_US http://dx.doi.org/10.1177/0278364912461059 International Journal of Robotics Research Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Sage Publications MIT web domain
spellingShingle Hover, Franz S.
Eustice, Ryan M.
Kim, Ayoung
Englot, Brendan J.
Johannsson, Hordur
Kaess, Michael
Leonard, John Joseph
Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title_full Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title_fullStr Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title_full_unstemmed Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title_short Advanced perception, navigation and planning for autonomous in-water ship hull inspection
title_sort advanced perception navigation and planning for autonomous in water ship hull inspection
url http://hdl.handle.net/1721.1/78589
https://orcid.org/0000-0002-8863-6550
https://orcid.org/0000-0002-2621-7633
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