| dc.contributor |
John J. Leonard. |
|
| dc.contributor |
Woods Hole Oceanographic Institution. |
|
| dc.contributor |
Joint Program in Applied Ocean Physics and Engineering |
|
| dc.contributor |
Woods Hole Oceanographic Institution |
|
| dc.contributor |
Massachusetts Institute of Technology. Department of Mechanical Engineering |
|
| dc.creator |
Bahr, Alexander |
|
| dc.date |
2010-05-27T19:46:14Z |
|
| dc.date |
2010-05-27T19:46:14Z |
|
| dc.date |
2008 |
|
| dc.date |
2009 |
|
| dc.date.accessioned |
2023-03-01T07:22:58Z |
|
| dc.date.available |
2023-03-01T07:22:58Z |
|
| dc.identifier |
http://hdl.handle.net/1721.1/55326 |
|
| dc.identifier |
429909773 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/275830 |
|
| dc.description |
Thesis (Ph. D.)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), February 2009. |
|
| dc.description |
Includes bibliographical references (p. 133-140). |
|
| dc.description |
Self-localization of an underwater vehicle is particularly challenging due to the absence of Global Positioning System (GPS) reception or features at known positions that could otherwise have been used for position computation. Thus Autonomous Underwater Vehicle (AUV) applications typically require the pre-deployment of a set of beacons.This thesis examines the scenario in which the members of a, group of AUVs exchange navigation information with one another so as to improve their individual position estimates. We describe how the underwater environment poses unique challenges to vehicle navigation not encountered in other environments in which robots operate and how cooperation can improve the performance of self-localization. As intra-vehicle communication is crucial to cooperation, we also address the constraints of the communication channel and the effect that these constraints have on the design of cooperation strategies. The classical approaches to underwater self-localization of a single vehicle, as well as more recently developed techniques are presented. We then examine how methods used for cooperating land-vehicles can be transferred to the underwater domain. An algorithm for distributed self-localization, which is designed to take the specific characteristics of the environment into account, is proposed. We also address how correlated position estimates of cooperating vehicles can lead to overconfidence in individual position estimates. Finally, key to any successful cooperative navigation strategy is the incorporation of the relative positioning between vehicles. The performance of localization algorithms with different geometries is analyzed and a distributed algorithm for the dynamic positioning of vehicles, which serve as dedicated navigation beacons for a fleet of AUVs, is proposed. |
|
| dc.description |
by Alexander Bahr. |
|
| dc.description |
Ph.D. |
|
| dc.format |
140 p. |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.publisher |
Massachusetts Institute of Technology |
|
| dc.rights |
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. |
|
| dc.rights |
http://dspace.mit.edu/handle/1721.1/7582 |
|
| dc.subject |
/Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering. |
|
| dc.subject |
Mechanical Engineering. |
|
| dc.subject |
Woods Hole Oceanographic Institution. |
|
| dc.subject |
Vehicles, Remotely piloted |
|
| dc.subject |
Remote submersibles |
|
| dc.title |
Cooperative localization for autonomous underwater vehicles |
|
| dc.type |
Thesis |
|