Covariance intersection

Covariance intersection is an algorithm for combining two or more estimates of state variables in a Kalman filter when the correlation between them… (More)
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Papers overview

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2015
2015
For the two-sensor linear stochastic descriptor system, the covariance intersection (CI) fusion Kalman predictor is presented, in… (More)
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2014
2014
The Covariance Intersection algorithm linearly combines estimates when the cross-correlations between their errors are unknown… (More)
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2013
2013
In this paper, we present a Covariance Intersection (CI)-based algorithm for reducing the processing and communication complexity… (More)
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Highly Cited
2012
Highly Cited
2012
This paper is concerned with distributed Kalman filtering for linear time-varying systems over multiagent sensor networks. We… (More)
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Highly Cited
2012
Highly Cited
2012
Vehicle localization (ground vehicles) is an important task for intelligent vehicle systems and vehicle cooperation may bring… (More)
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Review
2007
Review
2007
One of the greatest obstacles to the use of Simultaneous Localization And Mapping (SLAM) in a real-world environment is the need… (More)
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Highly Cited
2005
Highly Cited
2005
  • Dietrich. Fraenken, Andreas. Huepper
  • 2005
Among the possible approaches to tackling the problem of data incest in distributed data fusion networks, covariance intersection… (More)
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Highly Cited
2002
Highly Cited
2002
This note addresses the problem of obtaining a consistent estimate (or upper bound) of the covariance matrix when combining two… (More)
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Highly Cited
2001
Highly Cited
2001
In a distributed estimation or tracking system, local estimates are first generated from individual sensors. The state estimates… (More)
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2001
2001
DDF is an ONR-funded effort to evaluate the possible role of Covariance Intersection (CI) in future naval network-centric warfare… (More)
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