DocumentCode :
2603455
Title :
Cooperative Autonomous Underwater Vehicle localization
Author :
Nogueira, Marcelo Borges ; Sousa, J.B. ; Pereira, Fernando Lobo
Author_Institution :
Underwater Syst. & Technol. Lab., Univ. do Porto, Porto, Portugal
fYear :
2010
fDate :
24-27 May 2010
Firstpage :
1
Lastpage :
9
Abstract :
Due to some communication constraints of the underwater environment, cooperative localization for AUVs is a hard task. In this paper, we present the state of the art in this area, analyse the existing solutions to related problems and propose 2 algorithms, based on the EKF, to solve the localization problem with a group of Autonomous Underwater Vehicles equipped with low cost navigation systems in an unknown environment. Without the aid of a global positioning system, the navigation error will grow unbounded. However, navigation performance can be greatly improved with our cooperative navigation scheme, as shown in simulations. We also show that the methods give better results when compared to an existing solution and perform a nonlinear observability analysis of the system to show the boundedness of the error with the aid of a global positioning system.
Keywords :
Global Positioning System; Kalman filters; navigation; remotely operated vehicles; underwater vehicles; communication constraint; cooperative autonomous underwater vehicle; global positioning system; low cost navigation system; nonlinear observability analysis; Covariance matrix; Equations; Mathematical model; Simultaneous localization and mapping; Uncertainty; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2010 IEEE - Sydney
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-5221-7
Electronic_ISBN :
978-1-4244-5222-4
Type :
conf
DOI :
10.1109/OCEANSSYD.2010.5603992
Filename :
5603992
Link To Document :
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