eXogenous Kalman Filter (XKF) for Visualization and Motion Prediction of Ships using Live Automatic Identification System (AIS) Data

eXogenous Kalman Filter (XKF) for Visualization and Motion Prediction of Ships using Live Automatic Identification System (AIS) Data

This paper addresses the problem of ship motion estimation using live data from Automatic Identification Systems (AIS). A globally exponentially stable observer for visualization and motion prediction of ships has been designed. Instead of using the extended Kalman filter (EKF) to deal with the kin...

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Bibliographic Details
Main Authors: Sindre Fossen, Thor I. Fossen
Format: Article
Language:English
Published: Norwegian Society of Automatic Control 2018-10-01
Series:Modeling, Identification and Control
Subjects:
Motion prediction
state estimation
autonomy
decision support
ship
Online Access:http://www.mic-journal.no/PDF/2018/MIC-2018-4-1.pdf

Internet

http://www.mic-journal.no/PDF/2018/MIC-2018-4-1.pdf

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