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A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4750

2021

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A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance

Sensors (Basel, Switzerland), 2018-03, Vol.18 (3), p.808

2018

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Advanced Estimation Techniques for Vehicle System Dynamic State: A Survey

Sensors (Basel, Switzerland), 2019-10, Vol.19 (19), p.4289

2019

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State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1387

2023

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Nonlinear Constrained Moving Horizon Estimation Applied to Vehicle Position Estimation

Sensors (Basel, Switzerland), 2019-05, Vol.19 (10), p.2276

Brembeck, Jonathan

2019

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An Adaptive Multi-Dimensional Vehicle Driving State Observer Based on Modified Sage–Husa UKF Algorithm

Sensors (Basel, Switzerland), 2020-12, Vol.20 (23), p.6889

2020

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Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems

Sensors (Basel, Switzerland), 2022-05, Vol.22 (9), p.3513

2022

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Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1458

2021

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Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model

Sensors (Basel, Switzerland), 2022-12, Vol.22 (24), p.9637

2022

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A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

Sensors (Basel, Switzerland), 2017-01, Vol.17 (1), p.11-11

2017

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Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4644

2021

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Observability Decomposition-Based Decentralized Kalman Filter and Its Application to Resilient State Estimation under Sensor Attacks

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6909

Lee, Chanhwa

2022

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Distributed Event Triggering Algorithm for Multi-Agent System over a Packet Dropping Network

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4835

2021

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Accurate Initial State Estimation in a Monocular Visual-Inertial SLAM System

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.506

2018

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Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.627

2020

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Cooperative Localization Approach for Multi-Robot Systems Based on State Estimation Error Compensation

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3842

2019

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Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems

Sensors (Basel, Switzerland), 2017-10, Vol.17 (10), p.2310

2017

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A Novel Distributed State Estimation Algorithm with Consensus Strategy

Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2134

2019

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Event-Based Sensing and Control for Remote Robot Guidance: An Experimental Case

Sensors (Basel, Switzerland), 2017-09, Vol.17 (9), p.2034

2017

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The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation

Sensors (Basel, Switzerland), 2016-07, Vol.16 (7), p.1103

2016

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A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4402

Brembeck, Jonathan

2019

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Constrained state estimation for individual localization in wireless body sensor networks

Sensors (Basel, Switzerland), 2014-11, Vol.14 (11), p.21195-21212

2014

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Maximum likelihood-based iterated divided difference filter for nonlinear systems from discrete noisy measurements

Sensors (Basel, Switzerland), 2012-07, Vol.12 (7), p.8912-8929

2012

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The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds

Sensors (Basel, Switzerland), 2024-10, Vol.24 (20), p.6622

2024

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Mobile Robot Localization and Mapping Algorithm Based on the Fusion of Image and Laser Point Cloud

Sensors (Basel, Switzerland), 2022-05, Vol.22 (11), p.4114

2022

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A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation

A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance

Advanced Estimation Techniques for Vehicle System Dynamic State: A Survey

State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools

Nonlinear Constrained Moving Horizon Estimation Applied to Vehicle Position Estimation

An Adaptive Multi-Dimensional Vehicle Driving State Observer Based on Modified Sage–Husa UKF Algorithm

Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems

Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

Health State Estimation of On-Board Lithium-Ion Batteries Based on GMM-BID Model

A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties

Observability Decomposition-Based Decentralized Kalman Filter and Its Application to Resilient State Estimation under Sensor Attacks

Distributed Event Triggering Algorithm for Multi-Agent System over a Packet Dropping Network

Accurate Initial State Estimation in a Monocular Visual-Inertial SLAM System

Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty

Cooperative Localization Approach for Multi-Robot Systems Based on State Estimation Error Compensation

Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems

A Novel Distributed State Estimation Algorithm with Consensus Strategy

Event-Based Sensing and Control for Remote Robot Guidance: An Experimental Case

The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation

A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation

Constrained state estimation for individual localization in wireless body sensor networks

Maximum likelihood-based iterated divided difference filter for nonlinear systems from discrete noisy measurements

The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds

Mobile Robot Localization and Mapping Algorithm Based on the Fusion of Image and Laser Point Cloud

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