DocumentCode :
580816
Title :
Dynamic positioning of beacon vehicles for cooperative underwater navigation
Author :
Bahr, Alexander ; Leonard, John J. ; Martinoli, Alcherio
Author_Institution :
Distrib. Intell. Syst. & Algorithms Lab., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2012
fDate :
7-12 Oct. 2012
Firstpage :
3760
Lastpage :
3767
Abstract :
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.
Keywords :
Global Positioning System; autonomous underwater vehicles; cooperative systems; estimation theory; mobile robots; multi-robot systems; optimal control; telerobotics; trajectory control; AUV; GPS signal underwater; autonomous underwater vehicles; beacon vehicle broadcasting; beacon vehicles trajectories; broadcast communication; cooperative underwater navigation; distributed algorithm; dynamic beacon vehicles positioning; expensive navigation suite; frequent surfacings; intravehicle; locally optimal beacon vehicle position; position estimation; position information; position uncertainty minimization; submerged vehicles; survey vehicles trajectory; Acoustics; Navigation; Prediction algorithms; Schedules; Sensors; Uncertainty; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
ISSN :
2153-0858
Print_ISBN :
978-1-4673-1737-5
Type :
conf
DOI :
10.1109/IROS.2012.6386168
Filename :
6386168
Link To Document :
بازگشت