Toward autonomous harbor surveillance
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/60167 |
| _version_ | 1811077275868725248 |
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| author | Johannsson, Hordur |
| author2 | John Leonard. |
| author_facet | John Leonard. Johannsson, Hordur |
| author_sort | Johannsson, Hordur |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. |
| first_indexed | 2024-09-23T10:40:04Z |
| format | Thesis |
| id | mit-1721.1/60167 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:40:04Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/601672019-04-12T16:01:58Z Toward autonomous harbor surveillance Johannsson, Hordur John Leonard. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. Includes bibliographical references (p. 105-113). In this thesis we address the problem of drift-free navigation for underwater vehicles performing harbor surveillance and ship hull inspection. Maintaining accurate localization for the duration of a mission is important for a variety of tasks, such as planning the vehicle trajectory and ensuring coverage of the area to be inspected. Our approach uses only onboard sensors in a simultaneous localization and mapping setting and removes the need for any external infrastructure like acoustic beacons. We extract dense features from a forward-looking imaging sonar and apply pair-wise registration between sonar frames. The registrations are combined with onboard velocity, attitude and acceleration sensors to obtain an improved estimate of the vehicle trajectory. In addition, an architecture for a persistent mapping is proposed. With the intention of handling long term operations and repetitive surveillance tasks. The proposed architecture is flexible and supports different types of vehicles and mapping methods. The design of the system is demonstrated with an implementation of some of the key features of the system. In addition, methods for re-localization are considered. Finally, results from several experiments that demonstrate drift-free navigation in various underwater environments are presented. by Hordur Johannsson. S.M. 2010-12-06T17:32:30Z 2010-12-06T17:32:30Z 2010 2010 Thesis http://hdl.handle.net/1721.1/60167 681764093 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 113 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Johannsson, Hordur Toward autonomous harbor surveillance |
| title | Toward autonomous harbor surveillance |
| title_full | Toward autonomous harbor surveillance |
| title_fullStr | Toward autonomous harbor surveillance |
| title_full_unstemmed | Toward autonomous harbor surveillance |
| title_short | Toward autonomous harbor surveillance |
| title_sort | toward autonomous harbor surveillance |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/60167 |
| work_keys_str_mv | AT johannssonhordur towardautonomousharborsurveillance |