J. Duník

发表

Methods for Estimating State and Measurement Noise Covariance Matrices: Aspects and Comparison

M. Simandl, J. Duník, O. Straka, 2009 .

Performance diagnosis of local filters in state estimation of nonlinear systems

M. Simandl, J. Duník, O. Straka, 2014 .

Comparison of stochastic integration filter with the Unscented Kalman filter for maneuvering targets

Erik Blasch, Ondrej Straka, Miroslav Simandl, 2014, NAECON 2014 - IEEE National Aerospace and Electronics Conference.

Sigma-Point Set Rotation in Unscented Kalman Filter: Analysis and Adaptation

Ondřej Straka, Miroslav Šimandl, Jindřich Duník, 2014 .

Performance analysis of derivative-free filters

J. Dunik, M. Simandl, O. Straka, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Noise Moment and Parameter Estimation of State-Space Model

J. Duník, O. Straka, O. Kost, 2018 .

Noise Covariance Matrices Estimation for Systems with Time-Varying Availability of Sensors

J. Duník, O. Straka, O. Kost, 2017 .

Estimation of noise covariance matrices for periodic systems

Miroslav Šimandl, Jindřich Duník, M. Simandl, 2011 .

Estimation of State and Measurement Noise Covariance Matrices by Multi-Step Prediction

Miroslav Šimandl, Jindřich Duník, M. Simandl, 2008 .

Functional Adaptive Controller for MIMO Systems with Dynamic Structure of Neural Network

J. Duník, Ivo Punčochář, L. Král, 2009 .

Off-line Estimation of System Noise Covariance Matrices by a Special Choice of the Filter Gain

M. Simandl, J. Duník, 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

Design of square-root derivative-free smoothers

M. Simandl, J. Duník, 2006 .

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme

V. Elvira, J. Duník, M. Brandner, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Truncation nonlinear filters for state estimation with nonlinear inequality constraints

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2012, Autom..

Performance evaluation of local state estimation methods in bearings-only tracking problems

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2011, 14th International Conference on Information Fusion.

Characteristic function based performance index for Bayesian filters

Ondrej Straka, Jindrich Duník, J. Duník, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Efficient adaptation of design parameters of derivative-free filters

M. Simandl, J. Duník, O. Straka, 2016, Automation and Remote Control.

Estimation of state and measurement noise characteristics

Jirí Ajgl, Ondrej Straka, Jindrich Duník, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values

Ondrej Straka, Uwe D. Hanebeck, Jindrich Duník, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

State Estimation Methods in Navigation: Overview and Application

Thomas Pany, Andrew G. Dempster, Pau Closas, 2020, IEEE Aerospace and Electronic Systems Magazine.

Density Difference Grid Design in a Point-Mass Filter

Ondřej Straka, Jindřich Duník, Jakub Matoušek, 2020, Energies.

Resampling-free Stochastic Integration Filter

O. Straka, J. Duník, J. Duník, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models

O. Straka, J. Duník, J. Matoušek, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Covariance Estimation and Gaussianity Assessment for State and Measurement Noise

Erik Blasch, Ondřej Straka, Oliver Kost, 2020 .

Design of Rao–Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models

Ondřej Straka, Jindřich Duník, J. Duník, 2019, IEEE Transactions on Signal Processing.

Solution Separation Unscented Kalman Filter

J. Duník, O. Straka, E. Blasch, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Rao-Blackwellised Point-Mass Smoothers for a Class of Conditionally Linear Dynamic Models

J. Duník, O. Straka, J. Duník, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Design of Rao–Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation

Ondřej Straka, Miloš Veselý, Jindřich Duník, 2019, IEEE Transactions on Aerospace and Electronic Systems.

State estimate consistency monitoring in Gaussian filtering framework

Ondrej Straka, Jindrich Duník, J. Duník, 2018, Signal Process..

Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error

Ondrej Straka, Jindrich Duník, Oliver Kost, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation

Ondrej Straka, Jindrich Duník, Ángel Luis García Fernández, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Directional Splitting for Structure Adaptation of Bayesian Filters

Ondrej Straka, Jindrich Duník, Ivo Puncochár, 2016, 2016 American Control Conference (ACC).

Efficient adaptation of design parameters of derivative-free filters

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2016, Autom. Remote. Control..

Design of discrete second order filters for continuous-discrete models

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Random-point-based filters: analysis and comparison in target tracking

Erik Blasch, Ondrej Straka, Jindrich Duník, 2015, IEEE Transactions on Aerospace and Electronic Systems.

Unscented Kalman filter with advanced adaptation of scaling parameter

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2014, Autom..

Comparison of adaptive and randomized unscented Kalman filter algorithms

Erik Blasch, Ondrej Straka, Jindrich Duník, 2014, 17th International Conference on Information Fusion (FUSION).

Truncated randomized unscented Kalman filter for interval constrained state estimation

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2013, Proceedings of the 16th International Conference on Information Fusion.

Stochastic Integration Filter

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2013, IEEE Transactions on Automatic Control.

Randomized unscented Kalman filter in target tracking

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2012, 2012 15th International Conference on Information Fusion.

Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance

Erik Blasch, Ondrej Straka, Jindrich Duník, 2012, 2012 15th International Conference on Information Fusion.

Scaling parameter in unscented transform: Analysis and specification

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2012, 2012 American Control Conference (ACC).

Gaussian sum unscented Kalman filter with adaptive scaling parameters

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2011, 14th International Conference on Information Fusion.

Multitarget tracking performance analysis using the non-credibility index in the Nonlinear Estimation Framework (NEF) toolbox

Ondrej Straka, Miroslav Simandl, Jindrich Dunik, 2010, Proceedings of the IEEE 2010 National Aerospace & Electronics Conference.

Measures of non-Gaussianity in unscented Kaiman filter framework

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2014, 17th International Conference on Information Fusion (FUSION).

Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I

Ondřej Straka, Oliver Kost, Jindřich Duník, 2017 .

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering

P. Closas, J. Duník, O. Straka, 2022, 2022 25th International Conference on Information Fusion (FUSION).

Directional splitting of Gaussian density in non-linear random variable transformation

Ondrej Straka, Uwe D. Hanebeck, Jannik Steinbring, 2018, IET Signal Process..

From competitive to cooperative filter design

Erik Blasch, Jirí Ajgl, Ondrej Straka, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Survey of nonlinearity and non-Gaussianity measures for state estimation

Erik Blasch, Ondrej Straka, Jindrich Duník, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Multiple-model filtering with multiple constraints

Ondrej Straka, Miroslav Simandl, Jindrich Dunik, 2010, Proceedings of the 2010 American Control Conference.

Derivative-free estimation methods: New results and performance analysis

Jindrich Duník, Miroslav Simandl, M. Simandl, 2009, Autom..

The Development of a Randomised Unscented Kalman Filter

Ondřej Straka, Miroslav Šimandl, Jindřich Duník, 2011 .

Estimation of state and parameters of traffic system

Jindrich Duník, Pavla Pecherková, Jitka Homolová, 2007, ICINCO-RA.

Density Approximation Error Assessment and Compensation in Point-Mass Filter

J. Duník, O. Straka, Jakub Matousek, 2022, 2022 25th International Conference on Information Fusion (FUSION).

On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2017, IEEE Transactions on Automatic Control.

Multiconstellation GNSS/INS to Support LPV200 Approaches and Autolanding

Jindrich Dunik, Zdenek Kana, Martin Orejas, 2012 .

SIGMA POINT GAUSSIAN SUM FILTER DESIGN USING SQUARE ROOT UNSCENTED FILTERS

Jindrich Dunik, Miroslav Šimandl, M. Simandl, 2005 .

Design of measurement difference autocovariance method for estimation of process and measurement noise covariances

Ondrej Straka, Jindrich Duník, Oliver Kost, 2018, Autom..

Uncertainty Quantification in Deep Learning Based Kalman Filters

Nir Shlezinger, J. Duník, Guy Revach, 2023, 2309.03058.

Nonlinear filtering methods: basic approaches and software package

Miroslav Šimandl, Ondřej Straka, Miroslav Flídr, 2004 .

Online Learning and Control for Data-Augmented Quadrotor Model

J. Duník, M. Smíd, 2023, ArXiv.

Estimation of Noise Means and Covariance Matrices for Linear Time-Varying Models

Ondrej Straka, Jindrich Duník, Oliver Kost, 2018, 2018 Annual American Control Conference (ACC).

Identification of State and Measurement Noise Covariance Matrices using Nonlinear Estimation Framework

Ondřej Straka, Oliver Kost, Jindřich Duník, 2015 .

Application of estimation techniques on queue lengths estimation in traffic network

P. Pecherkova, M. Flidr, J. Dunik, 2008, 2008 7th IEEE International Conference on Cybernetic Intelligent Systems.

Grid-Based Bayesian Filters With Functional Decomposition of Transient Density

P. Tichavský, J. Duník, O. Straka, 2023, IEEE Transactions on Signal Processing.

Structure adaptation of nonlinear filters based on non-Gaussianity measures

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2015, 2015 American Control Conference (ACC).

Nonlinearity and non-Gaussianity measures for stochastic dynamic systems

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2013, Proceedings of the 16th International Conference on Information Fusion.

Gaussian mixtures proposal density in particle filter for track-before-detect

Ondrej Straka, Jindrich Duník, Miroslav Simandl, 2009, 2009 12th International Conference on Information Fusion.

Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection

O. Straka, J. Duník, E. Blasch, 2020, 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS).

Nonlinear estimation framework in target tracking

Erik Blasch, Ondrej Straka, Jindrich Duník, 2010, 2010 13th International Conference on Information Fusion.