An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering Algorithm (CA) is ...

Mar 16, 2019 · An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering ...

An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering Algorithm (CA) is ...

Robust distributed fusion based on generalized covariance intersection. A clustering algorithm is used to derive an efficent parallelized fusion strategy.

Semantic Scholar extracted view of "Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection" by Guchong Li et al.

An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering Algorithm (CA) is ...

Sep 11, 2024 · An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering ...

In this letter, we consider the distributed multi-target tracking through the use of multi-Bernoulli based on generalized Covariance Intersection (G-CI).

Abstract: The paper addresses distributed multi-target tracking in the framework of generalized Covariance Intersection (GCI) over multistatic radar system.

Oct 28, 2022 · Generalized covariance intersection (GCI) [25, 26] fusion theory is an effective method to solve the distributed multisensor MTT fusion problem, ...