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Jirí Ajgl
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2020 – today
- 2024
- [c36]Jirí Ajgl, Ondrej Straka:
On fusion of probability density functions using tensor train decomposition. FUSION 2024: 1-6 - [c35]Jirí Ajgl, Ondrej Straka:
Dual Approach to Inverse Covariance Intersection Fusion. MFI 2024: 1-6 - 2023
- [c34]Jirí Ajgl, Ondrej Straka:
Approximate fusion of probability density functions using Gaussian copulas. FUSION 2023: 1-7 - [c33]Ondrej Straka, Ivo Puncochár, Jirí Ajgl:
Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems. FUSION 2023: 1-8 - 2022
- [j5]Jirí Ajgl
, Ondrej Straka:
Covariance Intersection fusion with element-wise partial knowledge of correlation. Autom. 139: 110168 (2022) - [c32]Jirí Ajgl, Ondrej Straka:
Linear Fusion under Random Correlation of Estimation Errors. EUSIPCO 2022: 2176-2180 - [c31]Jirí Ajgl, Ondrej Straka:
Linear Fusion with Element-Wise Knowledge. FUSION 2022: 1-8 - [c30]Jirí Ajgl
A Study of Fusions of Multiple Estimates for Limit Cases. MFI 2022: 1-6 - 2021
- [c29]Jirí Ajgl, Ondrej Straka:
Comparison of Confidence Sets Designs for Various Degrees of Knowledge. FUSION 2021: 1-7 - [c28]Jirí Ajgl
Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations. MFI 2021: 1-6 - [c27]Susanne Radtke, Jirí Ajgl
Learning and Exploiting Partial Knowledge in Distributed Estimation. MFI 2021: 1-7 - 2020
- [c26]Jirí Ajgl, Ondrej Straka:
Design of Confidence Sets for Estimation with Approximate Piecewise Linear Constraint. ECC 2020: 825-830 - [c25]Jirí Ajgl
Inverse Covariance Intersection Fusion of Multiple Estimates. FUSION 2020: 1-8 - [c24]Jirí Ajgl
Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint. MFI 2020: 146-151
2010 – 2019
- 2019
- [j4]Jirí Ajgl
Decentralised estimation with correlation limited by optimal processing of independent data. Autom. 99: 132-137 (2019) - [c23]Jirí Ajgl
Rectification of Partitioned Covariance Intersection. ACC 2019: 5786-5791 - [c22]Jirí Ajgl, Ondrej Straka:
On Fusion of Partial Estimates Under Implicit Partial Knowledge of Correlation. FUSION 2019: 1-8 - [c21]Jirí Ajgl
Calculation of Support Function for Fusion Under Partial Knowledge. ICPS 2019: 224-229 - 2018
- [j3]Jirí Ajgl
Fusion of Multiple Estimates by Covariance Intersection: Why and Howit Is Suboptimal. Int. J. Appl. Math. Comput. Sci. 28(3): 521-530 (2018) - [j2]Jirí Ajgl
Covariance Intersection in Track-to-Track Fusion: Comparison of Fusion Configurations. IEEE Trans. Ind. Informatics 14(3): 1127-1136 (2018) - [c20]Jirí Ajgl
Analysis of Partial Knowledge of Correlations in an Estimation Fusion Problem. FUSION 2018: 100-107 - 2017
- [c19]Jirí Ajgl
A geometrical perspective on fusion under unknown correlations based on Minkowski sums. FUSION 2017: 1-8 - [c18]Jindrich Duník
From competitive to cooperative filter design. FUSION 2017: 1-9 - [c17]Jirí Ajgl
On weak points of the ellipsoidal intersection fusion. MFI 2017: 28-33 - 2016
- [c16]Jirí Ajgl, Ondrej Straka:
Covariance intersection in track-to-track fusion without memory. FUSION 2016: 1027-1033 - [c15]Jindrich Havlik, Ondrej Straka, Jindrich Duník, Jirí Ajgl
On Nonlinearity Measuring Aspects of Stochastic Integration Filter. ICINCO (1) 2016: 353-361 - [c14]Jindrich Havlík, Ondrej Straka, Jindrich Duník, Jirí Ajgl:
Stochastic Integration Filter with Improved State Estimate Mean-Square Error Computation. ICINCO (Selected Papers) 2016: 423-439 - [c13]Jirí Ajgl
Covariance intersection in track-to-track fusion with memory. MFI 2016: 359-364 - 2015
- [c12]Jirí Ajgl
Design of a robust fusion of probability densities. ACC 2015: 4204-4209 - [c11]Jirí Ajgl, Miroslav Simandl, Jindrich Duník:
Approximation of powers of Gaussian mixtures. FUSION 2015: 878-885 - [c10]Jindrich Duník, Ondrej Straka, Miroslav Simandl, Oliver Kost, Jirí Ajgl, Milos Sotak, Radek Baranek, Zdenek Kana:
Estimation of state and measurement noise characteristics. FUSION 2015: 1817-1824 - 2014
- [j1]Jirí Ajgl
Conservativeness of estimates given by probability density functions: Formulation and aspects. Inf. Fusion 20: 117-128 (2014) - [c9]Jirí Ajgl, Miroslav Simandl:
Linear fusion of estimators with Gaussian mixture errors under unknown dependences. FUSION 2014: 1-8 - [c8]Jirí Ajgl, Miroslav Simandl, Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck:
Covariance Intersection in state estimation of dynamical systems. FUSION 2014: 1-7 - 2013
- [c7]Jirí Ajgl
Marginal marginalised particle filter. ACC 2013: 3081-3086 - [c6]Jirí Ajgl, Miroslav Simandl:
On conservativeness of posterior density fusion. FUSION 2013: 85-92 - 2012
- [c5]Jirí Ajgl, Miroslav Simandl:
Conservative merging of hypotheses given by probability densities. FUSION 2012: 1884-1890 - [c4]Erik Blasch, Ondrej Straka, Chun Yang, Di Qiu, Miroslav Simandl, Jirí Ajgl:
Distributed tracking fidelity-metric performance analysis using confusion matrices. FUSION 2012: 2012-2019 - 2011
- [c3]Jirí Ajgl, Miroslav Simandl:
Particle based probability density fusion with differential Shannon entropy criterion. FUSION 2011: 1-8 - 2010
- [c2]Jirí Ajgl, Miroslav Simandl:
Multisensor constrained estimation with unscented transformation. FUSION 2010: 1-7 - [c1]Jirí Ajgl, Miroslav Simandl:
Survey of Estimate Fusion Approaches. ICINCO (3) 2010: 191-196
Coauthor Index
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