Performance analysis of derivative-free filters. - Jindrich Duník; Miroslav Simandl; Ondrej Straka; Ladislav Král (CDC/ECC, 2005)

Estimation of state and parameters of traffic system. - Pavla Pecherková; Jitka Homolová; Jindrich Duník (ICINCO-RA (2), 2007)

Gaussian mixtures proposal density in particle filter for track-before-detect. - Ondrej Straka; Miroslav Simandl; Jindrich Duník (FUSION, 2009)

Derivative-free estimation methods: New results and performance analysis. - Miroslav Simandl; Jindrich Duník (Autom., 2009)

Multiple-model filtering with multiple constraints. - Jindrich Duník; Miroslav Simandl; Ondrej Straka (ACC, 2010)

Adaptive choice of scaling parameter in derivative-free local filters. - Jindrich Duník; Miroslav Simandl; Ondrej Straka (FUSION, 2010)

Nonlinear estimation framework in target tracking. - Ondrej Straka; Miroslav Flídr; Jindrich Duník; Miroslav Simandl; Erik Blasch (FUSION, 2010)

Truncated unscented particle filter. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (ACC, 2011)

Gaussian sum unscented Kalman filter with adaptive scaling parameters. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (FUSION, 2011)

Performance evaluation of local state estimation methods in bearings-only tracking problems. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (FUSION, 2011)

Scaling parameter in unscented transform: Analysis and specification. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (ACC, 2012)

Randomized unscented Kalman filter in target tracking. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (FUSION, 2012)

Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance. - Ondrej Straka; Jindrich Duník; Miroslav Simandl; Erik Blasch (FUSION, 2012)

Truncation nonlinear filters for state estimation with nonlinear inequality constraints. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (Autom., 2012)

Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter. - Jindrich Duník; Miroslav Simandl; Ondrej Straka (IEEE Trans. Autom. Control., 2012)

Aspects and comparison of matrix decompositions in unscented Kalman filter. - Ondrej Straka; Jindrich Duník; Miroslav Simandl; Jindrich Havlik (ACC, 2013)

Nonlinearity and non-Gaussianity measures for stochastic dynamic systems. - Jindrich Duník; Ondrej Straka; Miroslav Simandl (FUSION, 2013)

Truncated randomized unscented Kalman filter for interval constrained state estimation. - Ondrej Straka; Jindrich Duník; Miroslav Simandl; Jindrich Havlik (FUSION, 2013)

Stochastic Integration Filter. - Jindrich Duník; Ondrej Straka; Miroslav Simandl (IEEE Trans. Autom. Control., 2013)

Self-assessment of local filters by non-Gaussianity measures. - Jindrich Duník; Ondrej Straka; Miroslav Simandl (ACC, 2014)

On sigma-point set rotation in derivative-free filters. - Jindrich Duník; Ondrej Straka; Miroslav Simandl (FUSION, 2014)

Measures of non-Gaussianity in unscented Kaiman filter framework. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (FUSION, 2014)

Comparison of adaptive and randomized unscented Kalman filter algorithms. - Ondrej Straka; Jindrich Duník; Miroslav Simandl; Erik Blasch (FUSION, 2014)

Unscented Kalman filter with advanced adaptation of scaling parameter. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (Autom., 2014)

Structure adaptation of nonlinear filters based on non-Gaussianity measures. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (ACC, 2015)

Approximation of powers of Gaussian mixtures. - Jirí Ajgl; Miroslav Simandl; Jindrich Duník (FUSION, 2015)

Estimation of state and measurement noise characteristics. - Jindrich Duník; Ondrej Straka; Miroslav Simandl; Oliver Kost; Jirí Ajgl; Milos Sotak; Radek Baranek; Zdenek Kana (FUSION, 2015)

Design of discrete second order filters for continuous-discrete models. - Ondrej Straka; Jindrich Duník; Miroslav Simandl (FUSION, 2015)

Random-point-based filters: analysis and comparison in target tracking. - Jindrich Duník; Ondrej Straka; Miroslav Simandl; Erik Blasch (IEEE Trans. Aerosp. Electron. Syst., 2015)

Directional Splitting for Structure Adaptation of Bayesian Filters. - Ondrej Straka; Jindrich Duník; Ivo Puncochár (ACC, 2016)

Measurement difference autocovariance method for noise covariance matrices estimation. - Jindrich Duník; Ondrej Straka; Oliver Kost (CDC, 2016)

Survey of nonlinearity and non-Gaussianity measures for state estimation. - Jindrich Duník; Ondrej Straka; Mahendra Mallick; Erik Blasch (FUSION, 2016)

Characteristic function based performance index for Bayesian filters. - Ondrej Straka; Jindrich Duník (FUSION, 2016)

On Nonlinearity Measuring Aspects of Stochastic Integration Filter. - Jindrich Havlik; Ondrej Straka; Jindrich Duník; Jirí Ajgl (ICINCO (1), 2016)

Stochastic Integration Filter with Improved State Estimate Mean-Square Error Computation. - Jindrich Havlík; Ondrej Straka; Jindrich Duník; Jirí Ajgl (ICINCO (Selected Papers), 2016)

Efficient adaptation of design parameters of derivative-free filters. - Miroslav Simandl; Ondrej Straka; Jindrich Duník (Autom. Remote. Control., 2016)

Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error. - Oliver Kost; Jindrich Duník; Ondrej Straka (CDC, 2017)

From competitive to cooperative filter design. - Jindrich Duník; Ondrej Straka; Jirí Ajgl; Erik Blasch (FUSION, 2017)

Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation. - Jindrich Duník; Ondrej Straka; Ángel Luis García-Fernández (FUSION, 2017)

Stochastic integration Student's-t filter. - Ondrej Straka; Jindrich Duník (FUSION, 2017)

On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation. - Jindrich Duník; Ondrej Straka; Miroslav Simandl (IEEE Trans. Autom. Control., 2017)

Estimation of Noise Means and Covariance Matrices for Linear Time-Varying Models. - Oliver Kost; Jindrich Duník; Ondrej Straka (ACC, 2018)

Entropy-Based Consistency Monitoring for Stochastic Integration Filter. - Ondrej Straka; Jindrich Duník (FUSION, 2018)

State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment. - Jindrich Duník; Oliver Kost; Ondrej Straka; Erik Blasch (PLANS, 2018)

Pure-inertial AHRS with adaptive elimination of non-gravitational vehicle acceleration. - Pavol Malinak; Milos Sotak; Zdenek Kana; Radek Baranek; Jindrich Duník (PLANS, 2018)

Design of measurement difference autocovariance method for estimation of process and measurement noise covariances. - Jindrich Duník; Oliver Kost; Ondrej Straka (Autom., 2018)

Directional splitting of Gaussian density in non-linear random variable transformation. - Jindrich Duník; Ondrej Straka; Benjamin Noack; Jannik Steinbring; Uwe D. Hanebeck (IET Signal Process., 2018)

State estimate consistency monitoring in Gaussian filtering framework. - Jindrich Duník; Ondrej Straka (Signal Process., 2018)

Rao-Blackwellised Point-Mass Smoothers for a Class of Conditionally Linear Dynamic Models. - Jindrich Duník; Ondrej Straka (FUSION, 2019)

Solution Separation Unscented Kalman Filter. - Jindrich Duník; Ondrej Straka; Erik Blasch (FUSION, 2019)

Design of Rao-Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation. - Jindrich Duník; Milos Sotak; Milos Veselý; Ondrej Straka; Wesley Hawkinson (IEEE Trans. Aerosp. Electron. Syst., 2019)

Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models. - Jindrich Duník; Ondrej Straka (IEEE Trans. Signal Process., 2019)

Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models. - Jindrich Duník; Ondrej Straka; Jakub Matousek (FUSION, 2020)

Resampling-free Stochastic Integration Filter. - Ondrej Straka; Jindrich Duník (FUSION, 2020)

Conditional Density Driven Grid Design in Point-Mass Filter. - Jindrich Duník; Ondrej Straka; Jakub Matousek (ICASSP, 2020)

Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection. - Jindrich Duník; Oliver Kost; Ondrej Straka; Erik Blasch (PLANS, 2020)

Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids. - Jakub Matousek; Marek Brandner; Jindrich Duník (CDC, 2021)

Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values. - Jindrich Duník; Ondrej Straka; Uwe D. Hanebeck (FUSION, 2021)

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. - Jakub Matousek; Jindrich Duník; Marek Brandner; Victor Elvira (FUSION, 2021)

Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. - Ondrej Straka; Jindrich Duník; Víctor Elvira (FUSION, 2021)

Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor. - Jindrich Duník; Ondrej Straka; Jakub Matousek; Marek Brandner (IEEE Trans. Aerosp. Electron. Syst., 2021)

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. - Tales Imbiriba; Ahmet Demirkaya; Jindrich Duník; Ondrej Straka; Deniz Erdogmus; Pau Closas (FUSION, 2022)

Density Approximation Error Assessment and Compensation in Point-Mass Filter. - Jakub Matousek; Jindrich Duník; Ondrej Straka; Erik Blasch (FUSION, 2022)

Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition. - Ondrej Straka; Jindrich Duník (FUSION, 2022)

Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation. - Milos Veselý; Jindrich Duník; Petr Hotmar; Tomas Béda (FUSION, 2022)

Point-Mass Filter with Decomposition of Transient Density. - Petr Tichavský; Ondrej Straka; Jindrich Duník (ICASSP, 2022)

Copula-based convolution for fast point-mass prediction. - Jindrich Duník; Ondrej Straka; Jakub Matousek; Erik Blasch (Signal Process., 2022)

Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory. - Jakub Matousek; Jindrich Duník; Robin Forsling (ACC, 2023)

Fault Detection in Resilient Time Provision. - Jindrich Duník; Ladislav Král; Ivo Puncochár; Ondrej Straka; Ondrej Daniel; O. Lushchykov (FUSION, 2023)

Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation. - Jan Krejcí; Oliver Kost; Ondrej Straka; Jindrich Duník (FUSION, 2023)

Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration. - Jakub Matousek; Jindrich Duník; Marek Brandner (FUSION, 2023)

GNSS Pseudorange Measurement Noise Identification by Measurement Difference Method. - Jindrich Duník; Oliver Kost; Ondrej Straka; Ondrej Daniel (PLANS, 2023)

Classification of Uncertainty Sources for Reliable Bayesian Estimation. - Jindrich Duník; Ondrej Straka; Benjamin Noack (SDF-MFI, 2023)

Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics. - Jakub Matousek; Jindrich Duník; Marek Brandner; Chan Gook Park; Yeongkwon Choe (CoRR, 2023)

Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation. - Jakub Matousek; Jindrich Duník; Marek Brandner (CoRR, 2023)

Online Learning and Control for Data-Augmented Quadrotor Model. - Matej Smíd; Jindrich Duník (CoRR, 2023)

Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models. - Jindrich Duník; Jakub Matousek; Ondrej Straka (IEEE Control. Syst. Lett., 2023)

Grid-Based Bayesian Filters With Functional Decomposition of Transient Density. - Petr Tichavský; Ondrej Straka; Jindrich Duník (IEEE Trans. Signal Process., 2023)

Measurement Difference Method: A Universal Tool for Noise Identification. - Oliver Kost; Jindrich Duník; Ondrej Straka (IEEE Trans. Autom. Control., 2023)

Identification of GNSS Measurement Error: From Time to Elevation Dependency. - Oliver Kost; Jindrich Duník; Ondrej Straka; Ondrej Daniel (IEEE Trans. Aerosp. Electron. Syst., 2023)

Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation. - Jindrich Duník; Jakub Matousek; Ondrej Straka; Erik Blasch; John Hiles; Ruixin Niu (FUSION, 2024)

Multi-layer GNSS and LEO-PNT Positioning: Integrity under Constellations' Correlation. - Jindrich Duník; Ivo Puncochár; Ladislav Král; Ondrej Straka; Ondrej Daniel; Fabricio dos Santos Prol; Muwahida Liaquat; Mohammad Zahidul Hasan Bhuiyan (FUSION, 2024)

Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. - Jan Krejcí; Oliver Kost; Ondrej Straka; Jindrich Duník (FUSION, 2024)

Efficient Spectral Differentiation in Grid-Based Continuous State Estimation. - Jakub Matousek; Jindrich Duník; Marek Brandner (FUSION, 2024)

Uncertainty Quantification in Deep Learning Based Kalman Filters. - Yehonatan Dahan; Guy Revach; Jindrich Duník; Nir Shlezinger (ICASSP, 2024)

Pedestrian Tracking with Monocular Camera: Simple 2D Filter Springing From 3D Modeling. - Jan Krejcí; Oliver Kost; Ondrej Straka; Jindrich Duník (MFI, 2024)

Noise Identification for Data-Augmented Physics-Based State-Space Models. - Jindrich Duník; Ondrej Straka; Oliver Kost; S. Tang; Tales Imbiriba; Pau Closas (SiPS, 2024)

AI-Aided Kalman Filters. - Nir Shlezinger; Guy Revach; Anubhab Ghosh; Saikat Chatterjee; Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas; Yonina C. Eldar (CoRR, 2024)

Augmented Physics-Based Machine Learning for Navigation and Tracking. - Tales Imbiriba; Ondrej Straka; Jindrich Duník; Pau Closas (IEEE Trans. Aerosp. Electron. Syst., 2024)

Guest Editorial for the TAES Special Section on Machine Learning Methods for Aerial and Space Positioning and Navigation. - Kegen Yu; Jindrich Duník; Michael S. Braasch; Pau Closas; Fabio Dovis (IEEE Trans. Aerosp. Electron. Syst., 2024)

Augmented Physics-Based Models for High-Order Markov Filtering. - Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas (Sensors, 2024)

Spoofing Detection in Time Domain for Stationary and Moving Receiver. - Oliver Kost; Ondrej Straka; Ondrej Dohnal; Jindrich Duník (PLANS, 2025)

Barometer-free Aircraft Terrain-aided Navigation System: Prototype Design and Flight-Test Validation. - Milos Veselý; Jindrich Duník; Tomas Béda (PLANS, 2025)

Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter. - Yehonatan Dahan; Guy Revach; Jindrich Duník; Nir Shlezinger (IEEE Trans. Signal Process., 2025)

Lagrangian Grid-Based Filters With Application to Terrain-Aided Navigation. - Jakub Matousek; Jindrich Duník; Ondrej Straka (IEEE Signal Process. Mag., 2025)

Interpretable Augmented Physics-Based Model for Estimation and Tracking. - Ondrej Straka; Jindrich Duník; Pau Closas; Tales Imbiriba (CoRR, 2025)