Title
Kalman Filter Based Team Navigation For Multiple Unmanned Marine Vehicles
Abstract
In applications employing Multiple Unmanned Marine Vehicles (MUMVs), the navigation has a very great importance to guarantee formation preservation and collision avoidance. While single vehicles usually base their navigation on absolute measurements (GPS, inertial navigation) to determine their position relative to the world, it may be reasonable to perform a relative navigation within vehicle teams. In this paper, we propose relative team navigation based on Kalman Filters to enable a velocity controller to establish a close formation under the typical marine constraints (narrow band width communication with low reliability). We will simulate a team of three marine vehicles and compare the results of different strategies for team navigation.
Year
DOI
Venue
2008
10.1109/CCA.2008.4629655
2008 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2
Keywords
Field
DocType
kalman filter,control systems,kalman filters,remotely operated vehicles,inertial navigation
Inertial navigation system,Remotely operated underwater vehicle,Control theory,Computer science,Air navigation,Control engineering,Dead reckoning,Global Positioning System,Mobile robot navigation,Wind triangle,Performance-based navigation
Conference
ISSN
Citations 
PageRank 
1085-1992
0
0.34
References 
Authors
1
6