A robust cooperative localization algorithm based on covariance intersection method for multi-robot systems [PDF]
PeerJ Computer Science, 2023 Cooperative localization is an arising research problem for multi-robot system, especially for the scenarios that need to reduce the communication load of base stations.
Miao Wang, Qingshan Liu
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1-Point RANSAC UKF with Inverse Covariance Intersection for Fault Tolerance [PDF]
Sensors, 2020 The fault tolerance estimation method is proposed to maintain reliable correspondences between sensor data and estimation performance regardless of the number of valid measurements.
Sun Young Kim +2 more
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Sequential Covariance Intersection Fusion Robust Time-Varying Kalman Filters with Uncertainties of Noise Variances for Advanced Manufacturing [PDF]
Micromachines, 2022 This paper addresses the robust Kalman filtering problem for multisensor time-varying systems with uncertainties of noise variances. Using the minimax robust estimation principle, based on the worst-case conservative system with the conservative upper ...
Wenjuan Qi, Shigang Wang
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Interval Split Covariance Intersection Filter: Theory and Its Application to Cooperative Localization in a Multi-Sensor Multi-Vehicle System [PDF]
SensorsThe data incest problem causes inter-estimate correlation during data fusion processes, which yields inconsistent data fusion results. Especially in the multi-sensor multi-vehicle (MSMV) system, the data incest problem is serious due to multiple relative
Xiaoyu Shan +2 more
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Multi-Sensor Fusion Positioning Method Based on Batch Inverse Covariance Intersection and IMM [PDF]
Applied Sciences, 2021 For mass application positioning demands, the current single positioning sensor cannot provide reliable and accurate positioning. Herein, we present batch inverse covariance intersection (BICI) and BICI with interacting multiple model (BICI-IMM) multi ...
Yanxu Liu, Zhongliang Deng, Enwen Hu
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Data Fusion With Inverse Covariance Intersection for Prior Covariance Estimation of the Particle Flow Filter [PDF]
IEEE Access, 2020 The prior covariance estimation method based on inverse covariance intersection (ICI) is proposed to apply the particle flow filter. The proposed method has better estimate performance and guarantees consistent estimation results compared with previous ...
Chang Ho Kang +2 more
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The GM-JMNS-CPHD Filtering Algorithm for Nonlinear Systems Based on a Generalized Covariance Intersection [PDF]
SensorsSome fusion criteria in multisensor and multitarget motion tracking cannot be directly applied to nonlinear motion models, as the fusion accuracy applied in nonlinear systems is relatively low.
Zhixuan Xu +3 more
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Fusion of Multiple Estimates by Covariance Intersection: Why and Howit Is Suboptimal [PDF]
International Journal of Applied Mathematics and Computer Science, 2018 The fusion under unknown correlations tunes a combination of local estimates in such a way that upper bounds of the admissible mean square error matrices are optimised.
Ajgl Jiří, Straka Ondřej
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Distributed asynchronous measurement system fusion estimation based on inverse covariance intersection algorithm [PDF]
Scientific ReportsFor state estimation of multi-source asynchronous measurement systems with measurement missing phenomena, this paper proposes a distributed sequential inverse covariance intersection (DSICI) fusion algorithm based on conditional Kalman filtering method ...
Taishan Guo +3 more
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Gaussian Mixture Cardinalized Probability Hypothesis Density(GM-CPHD): A Distributed Filter Based on the Intersection of Parallel Inverse Covariances [PDF]
Sensors, 2023 A distributed GM-CPHD filter based on parallel inverse covariance crossover is designed to attenuate the local filtering and uncertain time-varying noise affecting the accuracy of sensor signals.
Liu Wang, Guifen Chen, Guangjiao Chen
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