Abstract
ABSTRACT The problem of data fusion in a navigational decision support system on a sea-going vessel has been analyzed. The computing algorithm herein applied for solving the formulated problem is based on a multi-sensor Kalman filter. On the practical side, results of the tests done in real conditions are shown. The tests conducted onboard m/s Nawigator XXI, have been aimed at the verification of the proposed computing algorithm implemented in a prototype navigational decision support system.
Highlights
In the literature on the problems of information processing the terms data integration and data fusion are very often used as synonyms [9]
To meet the demands of the considered algorithm of navigational data fusion, we introduce the following mathematical model of discrete stochastic system with l sensors [2,3,4]: (vx(t), vy(t)) yi(t) ∈ R2 (1)
Rapid advancements in information technologies we have been witnessing in recent years, significantly affect the organization and execution of maritime transport processes
Summary
In the literature on the problems of information processing the terms data integration and data fusion are very often used as synonyms [9]. ALGORITHM OF NAVIGATIONAL DATA FUSION WITHIN THE KALMAN FILTER
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