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A Kalman Filter Model for an Integrated Land Vehicle Navigation System

Published online by Cambridge University Press:  21 October 2009

Allison N. Ramjattan
Affiliation:
(University of Newcastle upon Tyne)
Paul A. Cross
Affiliation:
(University of Newcastle upon Tyne)

Abstract

Unlike in the case of airborne and offshore applications, GPS cannot be used continuously for land vehicle navigation due to the loss of satellite signals by obstructions from buildings, trees, etc. With the increasing trend in various sectors of the economy towards efficient fleet management, the challenges of providing a system capable of providing high-accuracy vehicle position and location anywhere, continuously, has led to renewed interest in the area of integrated navigation systems. In order to satisfy these conditions, an integrated system comprising GPS and gyro/odometer dead reckoning has been developed. This paper gives a description of the implemented system and shows some of the practical results that can be obtained using Kalman filtering algorithms.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 1995

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References

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