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