/Towards Autonomous Ship Hull Inspection using the Bluefin HAUV

Towards Autonomous Ship Hull Inspection using the Bluefin HAUV

Michael Kaess, Hordur Johannsson, Brendan Englot, Franz Hover and John Leonard
Miscellaneous, Carnegie Mellon University, Ninth International Symposium on Technology and the Mine Problem, May, 2010

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Abstract

In this paper we describe our effort to automate ship hull inspection for secu- rity applications. Our main contribution is a system that is capable of drift-free self-localization on a ship hull for extended periods of time. Maintaining accu- rate localization for the duration of a mission is important for navigation and for ensuring full coverage of the area to be inspected. We exclusively use onboard sensors including an imaging sonar to correct for drift in the vehicle’s navigation sensors. We present preliminary results from online experiments on a ship hull. We further describe ongoing work including adding capabilities for change detection by aligning vehicle trajectories of different missions based on a technique recently developed in our lab.

BibTeX Reference
@misc{Kaess-2010-10467,
author = {Michael Kaess and Hordur Johannsson and Brendan Englot and Franz Hover and John Leonard},
title = {Towards Autonomous Ship Hull Inspection using the Bluefin HAUV},
booktitle = {Ninth International Symposium on Technology and the Mine Problem},
school = {Robotics Institute , Carnegie Mellon University},
month = {May},
year = {2010},
address = {Pittsburgh, PA},
}
2017-09-13T10:40:43+00:00