Ondrej Straka

Orcid: 0000-0003-3066-5882

According to our database1, Ondrej Straka authored at least 119 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Active fault diagnosis for stochastic large scale systems under non-separable costs.
Autom., January, 2024

Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model.
CoRR, 2024

2023
To Click, or Not to Click? Perfectionism and the Association of Gender and Competitiveness on Game-Point Monitoring.
Technol. Knowl. Learn., December, 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

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

Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems.
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

Bounding Box Detection in Visual Tracking: Measurement Model Parameter 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

Approximate fusion of probability density functions using Gaussian copulas.
Proceedings of the 26th International Conference on Information Fusion, 2023

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

Distributed design for active fault diagnosis.
Int. J. Syst. Sci., 2022

Covariance Intersection fusion with element-wise partial knowledge of correlation.
Autom., 2022

A Study of Fusions of Multiple Estimates for Limit Cases.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

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

Feature-Based Multi-Object Tracking With Maximally One Object per Class.
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

Linear Fusion with Element-Wise Knowledge.
Proceedings of the 25th International Conference on Information Fusion, 2022

Linear Fusion under Random Correlation of Estimation Errors.
Proceedings of the 30th European Signal Processing Conference, 2022

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

Improved Calibration of Numerical Integration Error in Sigma-Point Filters.
IEEE Trans. Autom. Control., 2021

Learning and Exploiting Partial Knowledge in Distributed Estimation.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 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

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

Comparison of Confidence Sets Designs for Various Degrees of Knowledge.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Model predictive control of electric drive system with L1-norm.
Eur. J. Control, 2020

Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms.
Int. J. Appl. Math. Comput. Sci., 2020

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

Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

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

Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 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

Inverse Covariance Intersection Fusion of Multiple Estimates.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Time-to-go function of double-integrator system with asymmetrical constraints.
Proceedings of the 18th European Control Conference, 2020

Design of Confidence Sets for Estimation with Approximate Piecewise Linear Constraint.
Proceedings of the 18th European Control Conference, 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

Decentralised estimation with correlation limited by optimal processing of independent data.
Autom., 2019

Calculation of Support Function for Fusion Under Partial Knowledge.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Decentralized and Distributed Active Fault Diagnosis for Stochastic Systems with Indirect Observations.
Proceedings of the 22th International Conference on Information Fusion, 2019

Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation.
Proceedings of the 22th International Conference on Information Fusion, 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

On Fusion of Partial Estimates Under Implicit Partial Knowledge of Correlation.
Proceedings of the 22th International Conference on Information Fusion, 2019

Non-centralized Active Fault Diagnosis for Stochastic Systems.
Proceedings of the 2019 American Control Conference, 2019

Rectification of Partitioned Covariance Intersection.
Proceedings of the 2019 American Control Conference, 2019

2018
Covariance Intersection in Track-to-Track Fusion: Comparison of Fusion Configurations.
IEEE Trans. Ind. Informatics, 2018

Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems.
IEEE Trans. Cybern., 2018

Gaussian Process Quadrature Moment Transform.
IEEE Trans. Autom. Control., 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

Fusion of Multiple Estimates by Covariance Intersection: Why and Howit Is Suboptimal.
Int. J. Appl. Math. Comput. Sci., 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

Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples.
Proceedings of the 21st International Conference on Information Fusion, 2018

Stochastic Integration Filter: Theoretical and Implementation Aspects.
Proceedings of the 21st International Conference on Information Fusion, 2018

Analysis of Partial Knowledge of Correlations in an Estimation Fusion Problem.
Proceedings of the 21st International Conference on Information Fusion, 2018

Multiple-Model Active Fault Diagnosis with Deferred Decisions.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Correlated Noise Characteristics Estimation for Linear Time-Varying Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 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

On weak points of the ellipsoidal intersection fusion.
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

Efficient MPC for permanent magnet synchronous motor.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

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

Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise.
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

A geometrical perspective on fusion under unknown correlations based on Minkowski sums.
Proceedings of the 20th International Conference on Information Fusion, 2017

Efficient active fault diagnosis using adaptive particle filter.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 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

Covariance intersection in track-to-track fusion with memory.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 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

Covariance intersection in track-to-track fusion without memory.
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

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

Nonlinear estimation framework: A versatile tool for state estimation.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 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

Distributed tracking fidelity-metric performance analysis using confusion matrices.
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
Particle filter with adaptive sample size.
Kybernetika, 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
Gaussian mixtures proposal density in particle filter for track-before-detect.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Functional sampling density design for particle filters.
Signal Process., 2008

2007
Sampling Densities of Particle Filter: A Survey and Comparison.
Proceedings of the American Control Conference, 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

2003
Nonlinear Filtering Methods: Some Aspects and Performance Evaluation.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003


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