Advanced perception, navigation and planning for autonomous in-water ship hull inspection
Name
Hover_Advanced perception.pdf
Size
9.74 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Hover, Franz S.
Eustice, Ryan M.
Kim, Ayoung
Englot, Brendan J.
Johannsson, Hordur
Kaess, Michael
Leonard, John Joseph
Date Issued
April 24, 2013
Journal
International Journal of Robotics Research
Publisher
Sage Publications
Citation
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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1177/0278364912461059
