Jindrich Duník

Orcid: 0000-0003-1460-8845

According to our database1, Jindrich Duník authored at least 88 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Augmented Physics-Based Models for High-Order Markov Filtering.
Sensors, September, 2024

Guest Editorial for the TAES Special Section on Machine Learning Methods for Aerial and Space Positioning and Navigation.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

Augmented Physics-Based Machine Learning for Navigation and Tracking.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

Pedestrian Tracking with Monocular Camera: Simple 2D Filter Springing From 3D Modeling.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Uncertainty Quantification in Deep Learning Based Kalman Filters.
Proceedings of the IEEE International Conference on Acoustics, 2024

Efficient Spectral Differentiation in Grid-Based Continuous State Estimation.
Proceedings of the 27th International Conference on Information Fusion, 2024

Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model.
Proceedings of the 27th International Conference on Information Fusion, 2024

Multi-layer GNSS and LEO-PNT Positioning: Integrity under Constellations' Correlation.
Proceedings of the 27th International Conference on Information Fusion, 2024

Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Identification of GNSS Measurement Error: From Time to Elevation Dependency.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Measurement Difference Method: A Universal Tool for Noise Identification.
IEEE Trans. Autom. Control., March, 2023

Grid-Based Bayesian Filters With Functional Decomposition of Transient Density.
IEEE Trans. Signal Process., 2023

Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models.
IEEE Control. Syst. Lett., 2023

Online Learning and Control for Data-Augmented Quadrotor Model.
CoRR, 2023

Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation.
CoRR, 2023

Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics.
CoRR, 2023

GNSS Pseudorange Measurement Noise Identification by Measurement Difference Method.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration.
Proceedings of the 26th International Conference on Information Fusion, 2023

Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation.
Proceedings of the 26th International Conference on Information Fusion, 2023

Fault Detection in Resilient Time Provision.
Proceedings of the 26th International Conference on Information Fusion, 2023

Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory.
Proceedings of the American Control Conference, 2023

2022
Copula-based convolution for fast point-mass prediction.
Signal Process., 2022

Point-Mass Filter with Decomposition of Transient Density.
Proceedings of the IEEE International Conference on Acoustics, 2022

Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation.
Proceedings of the 25th International Conference on Information Fusion, 2022

Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition.
Proceedings of the 25th International Conference on Information Fusion, 2022

Density Approximation Error Assessment and Compensation in Point-Mass Filter.
Proceedings of the 25th International Conference on Information Fusion, 2022

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor.
IEEE Trans. Aerosp. Electron. Syst., 2021

Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Conditional Density Driven Grid Design in Point-Mass Filter.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resampling-free Stochastic Integration Filter.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models.
IEEE Trans. Signal Process., 2019

Design of Rao-Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation.
IEEE Trans. Aerosp. Electron. Syst., 2019

Solution Separation Unscented Kalman Filter.
Proceedings of the 22th International Conference on Information Fusion, 2019

Rao-Blackwellised Point-Mass Smoothers for a Class of Conditionally Linear Dynamic Models.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
State estimate consistency monitoring in Gaussian filtering framework.
Signal Process., 2018

Directional splitting of Gaussian density in non-linear random variable transformation.
IET Signal Process., 2018

Design of measurement difference autocovariance method for estimation of process and measurement noise covariances.
Autom., 2018

Pure-inertial AHRS with adaptive elimination of non-gravitational vehicle acceleration.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

Entropy-Based Consistency Monitoring for Stochastic Integration Filter.
Proceedings of the 21st International Conference on Information Fusion, 2018

Estimation of Noise Means and Covariance Matrices for Linear Time-Varying Models.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation.
IEEE Trans. Autom. Control., 2017

Stochastic integration Student's-t filter.
Proceedings of the 20th International Conference on Information Fusion, 2017

Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation.
Proceedings of the 20th International Conference on Information Fusion, 2017

From competitive to cooperative filter design.
Proceedings of the 20th International Conference on Information Fusion, 2017

Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Efficient adaptation of design parameters of derivative-free filters.
Autom. Remote. Control., 2016

Stochastic Integration Filter with Improved State Estimate Mean-Square Error Computation.
Proceedings of the Informatics in Control, Automation and Robotics, 2016

On Nonlinearity Measuring Aspects of Stochastic Integration Filter.
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), 2016

Characteristic function based performance index for Bayesian filters.
Proceedings of the 19th International Conference on Information Fusion, 2016

Survey of nonlinearity and non-Gaussianity measures for state estimation.
Proceedings of the 19th International Conference on Information Fusion, 2016

Measurement difference autocovariance method for noise covariance matrices estimation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Directional Splitting for Structure Adaptation of Bayesian Filters.
Proceedings of the 2016 American Control Conference, 2016

2015
Random-point-based filters: analysis and comparison in target tracking.
IEEE Trans. Aerosp. Electron. Syst., 2015

Design of discrete second order filters for continuous-discrete models.
Proceedings of the 18th International Conference on Information Fusion, 2015

Estimation of state and measurement noise characteristics.
Proceedings of the 18th International Conference on Information Fusion, 2015

Approximation of powers of Gaussian mixtures.
Proceedings of the 18th International Conference on Information Fusion, 2015

Structure adaptation of nonlinear filters based on non-Gaussianity measures.
Proceedings of the American Control Conference, 2015

2014
Unscented Kalman filter with advanced adaptation of scaling parameter.
Autom., 2014

Comparison of adaptive and randomized unscented Kalman filter algorithms.
Proceedings of the 17th International Conference on Information Fusion, 2014

Measures of non-Gaussianity in unscented Kaiman filter framework.
Proceedings of the 17th International Conference on Information Fusion, 2014

On sigma-point set rotation in derivative-free filters.
Proceedings of the 17th International Conference on Information Fusion, 2014

Self-assessment of local filters by non-Gaussianity measures.
Proceedings of the American Control Conference, 2014

2013
Stochastic Integration Filter.
IEEE Trans. Autom. Control., 2013

Truncated randomized unscented Kalman filter for interval constrained state estimation.
Proceedings of the 16th International Conference on Information Fusion, 2013

Nonlinearity and non-Gaussianity measures for stochastic dynamic systems.
Proceedings of the 16th International Conference on Information Fusion, 2013

Aspects and comparison of matrix decompositions in unscented Kalman filter.
Proceedings of the American Control Conference, 2013

2012
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter.
IEEE Trans. Autom. Control., 2012

Truncation nonlinear filters for state estimation with nonlinear inequality constraints.
Autom., 2012

Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance.
Proceedings of the 15th International Conference on Information Fusion, 2012

Randomized unscented Kalman filter in target tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

Scaling parameter in unscented transform: Analysis and specification.
Proceedings of the American Control Conference, 2012

2011
Performance evaluation of local state estimation methods in bearings-only tracking problems.
Proceedings of the 14th International Conference on Information Fusion, 2011

Gaussian sum unscented Kalman filter with adaptive scaling parameters.
Proceedings of the 14th International Conference on Information Fusion, 2011

Truncated unscented particle filter.
Proceedings of the American Control Conference, 2011

2010
Nonlinear estimation framework in target tracking.
Proceedings of the 13th Conference on Information Fusion, 2010

Adaptive choice of scaling parameter in derivative-free local filters.
Proceedings of the 13th Conference on Information Fusion, 2010

Multiple-model filtering with multiple constraints.
Proceedings of the American Control Conference, 2010

2009
Derivative-free estimation methods: New results and performance analysis.
Autom., 2009

Gaussian mixtures proposal density in particle filter for track-before-detect.
Proceedings of the 12th International Conference on Information Fusion, 2009

2007
Estimation of state and parameters of traffic system.
Proceedings of the ICINCO 2007, 2007

2005
Performance analysis of derivative-free filters.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005


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