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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… 
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Papers overview

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2015
2015
This paper presents an approach for decentralized range-only simultaneous localization and mapping (RO-SLAM) of a network of… 
2015
2015
For the two-sensor linear stochastic descriptor system, the covariance intersection (CI) fusion Kalman predictor is presented, in… 
2013
2013
It is significant to have accurate localization of surgical instruments in navigated minimally invasive surgery. Moreover… 
2012
2012
As the complexity of spacecraft and space systems increases, there is an ever increasing need for more accurate and robust… 
2010
2010
Compared to the optimal track-to-track fusion (T2TF) algorithm under linear Gaussian assumption and the information matrix fusion… 
2008
2008
This paper presents a fuzzy cognitive map (FCM) approach to develop an inference engine to perform goal reasoning based on… 
2008
2008
In this paper we discuss methods for estimating the position of objects in environments that have both distributed sensing… 
2001
2001
Mosaic-based positioning is a paradigm for the simultaneous construction of a photo-mosaic as a visual map, and its use to… 
1997
1997
  • 1997
  • Corpus ID: 13932303
Covariance Intersection (CI) is a major advance over the Kalman Filter for estimation, ltering, and data fusion applications…