Dynamic positioning of beacon vehicles for cooperative underwater navigation

Autonomous Underwater Vehicles (AUVs) are used for an ever increasing range of applications due to the maturing of the technology. Due to the absence of the GPS signal underwater, the correct estimation of its position is a challenge for submerged vehicles. One promising strategy to mitigate this pr...

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Bibliographic Details
Main Authors: Bahr, Alexander (Author), Leonard, John Joseph (Contributor), Martinoli, Alcherio (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2013-05-17T18:55:34Z.
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Online Access:Get fulltext
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100 1 0 |a Bahr, Alexander  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Leonard, John Joseph  |e contributor 
700 1 0 |a Leonard, John Joseph  |e author 
700 1 0 |a Martinoli, Alcherio  |e author 
245 0 0 |a Dynamic positioning of beacon vehicles for cooperative underwater navigation 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2013-05-17T18:55:34Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/78924 
520 |a Autonomous Underwater Vehicles (AUVs) are used for an ever increasing range of applications due to the maturing of the technology. Due to the absence of the GPS signal underwater, the correct estimation of its position is a challenge for submerged vehicles. One promising strategy to mitigate this problem is to use a group of AUVs where one or more assume the role of a beacon vehicle which has a very accurate position estimate due to an expensive navigation suite or frequent surfacings. These beacon vehicles broadcast their position and the remaining survey vehicles can use this position information and intra-vehicle ranges to update their position estimate. The effectiveness of this approach strongly depends on the geometry between the beacon vehicles and the survey vehicles. The trajectories of the beacon vehicles should thus be planned with the goal to minimize the position uncertainty of the survey vehicles. We propose a distributed algorithm which dynamically computes the locally optimal position for a beacon vehicle using only information obtained from broadcast communication of the survey vehicles. It does not need prior information about the survey vehicles' trajectory and can be used for any group size of beacon and survey vehicles. 
520 |a United States. Office of Naval Research (Grant N00014-97-1-0202) 
520 |a United States. Office of Naval Research (Grant N00014-05-1-0255) 
520 |a United States. Office of Naval Research (Grant N00014-02-C- 0210) 
520 |a United States. Office of Naval Research (Grant N00014-07-1-1102) 
546 |a en_US 
655 7 |a Article 
773 |t IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012