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Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection

2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020, p.925-932

2020

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Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter

IEEE transactions on automatic control, 2012-09, Vol.57 (9), p.2411-2416

2012

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Stochastic Integration Filter

IEEE transactions on automatic control, 2013-06, Vol.58 (6), p.1561-1566

2013

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State estimate consistency monitoring in Gaussian filtering framework

Signal processing, 2018-07, Vol.148, p.145-156

2018

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Copula-based convolution for fast point-mass prediction

Signal processing, 2022-03, Vol.192, p.108367, Article 108367

2022

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Resampling-free Stochastic Integration Filter

2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020, p.1-8

2020

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

2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020, p.1-7

2020

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State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment

2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2018, p.1326-1335

2018

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Efficient adaptation of design parameters of derivative-free filters

Automation and remote control, 2016-02, Vol.77 (2), p.261-276

2016

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Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults

2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020, p.1-8

2020

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

2019 22th International Conference on Information Fusion (FUSION), 2019, p.1-8

2019

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Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values

2021 IEEE 24th International Conference on Information Fusion (FUSION), 2021, p.1-8

2021

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Density Approximation Error Assessment and Compensation in Point-Mass Filter

2022 25th International Conference on Information Fusion (FUSION), 2022, p.1-7

2022

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Fault Detection in Resilient Time Provision

2023 26th International Conference on Information Fusion (FUSION), 2023, p.1-8

2023

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Solution Separation Unscented Kalman Filter

2019 22th International Conference on Information Fusion (FUSION), 2019, p.1-8

2019

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

2017 20th International Conference on Information Fusion (Fusion), 2017, p.1-10

2017

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From competitive to cooperative filter design

2017 20th International Conference on Information Fusion (Fusion), 2017, p.1-9

2017

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Survey of nonlinearity and non-Gaussianity measures for state estimation

2016 19th International Conference on Information Fusion (FUSION), 2016, p.1845-1852

2016

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Estimation of state and measurement noise characteristics

2015 18th International Conference on Information Fusion (Fusion), 2015, p.1817-1824

2015

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

14th International Conference on Information Fusion, 2011, p.1-8

2011

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Gaussian sum unscented Kalman filter with adaptive scaling parameters

14th International Conference on Information Fusion, 2011, p.1-8

2011

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Randomized unscented Kalman filter in target tracking

2012 15th International Conference on Information Fusion, 2012, p.503-510

2012

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Sampling Densities of Particle Filter: A Survey and Comparison

2007 American Control Conference, 2007, p.4437-4442

2007

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

2012 15th International Conference on Information Fusion, 2012, p.2004-2011

2012

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

Proceedings of the IEEE 2010 National Aerospace & Electronics Conference, 2010, p.107-115

2010

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Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection

Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter

Stochastic Integration Filter

State estimate consistency monitoring in Gaussian filtering framework

Copula-based convolution for fast point-mass prediction

Resampling-free Stochastic Integration Filter

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

State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment

Efficient adaptation of design parameters of derivative-free filters

Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults

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

Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values

Density Approximation Error Assessment and Compensation in Point-Mass Filter

Fault Detection in Resilient Time Provision

Solution Separation Unscented Kalman Filter

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

From competitive to cooperative filter design

Survey of nonlinearity and non-Gaussianity measures for state estimation

Estimation of state and measurement noise characteristics

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

Gaussian sum unscented Kalman filter with adaptive scaling parameters

Randomized unscented Kalman filter in target tracking

Sampling Densities of Particle Filter: A Survey and Comparison

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

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

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