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Article
State Estimation Algorithms for Localization: A Survey
Unmanned vehicles represent a research hotspot in the fields of control and robotics. The realization of autonomous driving of unmanned vehicles requires various technologies, such as localization, map**, pa...
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Article
Gaussian Sum FIR Filtering for 2D Target Tracking
The constant velocity (CV) motion model has been typically used in 2-dimensional (2D) target tracking problems, but it has an uncertain process noise covariance problem. Unlike the Kalman filter (KF), the leas...
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Article
Accurate pinch detection using recent finite measurements for automotive anti-pinch sunroof systems
This paper proposes a novel pinch detection method based on finite impulse response (FIR) filtering for automotive anti-pinch sunroof systems (APSS). In the proposed method, the squeezing force is estimated vi...
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Article
Extended least square unbiased FIR filter for target tracking using the constant velocity motion model
This paper proposes a new nonlinear state estimator that has a finite impulse response (FIR) structure. The proposed state estimator is called the extended least square unbiased FIR filter (ELSUFF) because it ...
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Article
A novel particle filter-based digital phase-locked loop robust against quantization error
Using digital phase-locked loops (DPLL) is an efficient way of estimating phase information. To obtain accurate phase information, the Kalman filter (KF) has become a powerful tool in many applications. In dig...
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Article
A Gaussian distributed resampling algorithm for mitigation of sample impoverishment in particle filters
This paper proposes a new resampling algorithm, a Gaussian distributed resampling (GDR) algorithm, in order to solve the sample impoverishment problem in particle filters. The key concept of the proposed algor...
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Article
Weighted average extended FIR filter bank to manage the horizon size in nonlinear FIR filtering
In this paper, we propose a novel approach to manage the horizon size in nonlinear finite impulse response (FIR) filtering. The proposed approach is to perform state estimation through a bank of FIR filters ca...
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Chapter and Conference Paper
Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modeling and sensors. Therefore, var...