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What is Fusion17 Noack about?

This paper introduces the Inverse Covariance Intersection (ICI) algorithm as a less conservative alternative to Covariance Intersection (CI) for decentralized data fusion, aiming to optimize the fusion of estimates while maintaining consistency. ICI allows for the treatment of unknown correlations and provides bounds on the error covariance matrix that are less conservative than those produced by CI. The authors derive conditions for consistency and demonstrate the applicability of ICI to a broader range of

Author

munigom011

Language

EN