Research on a mixed prediction method to vehicle integrated navigation systems
Aiming to improve the positioning accuracy of vehicle integrated navigation system (strapdown inertial navigation system/Global Positioning System) when Global Positioning System signal is blocked, a mixed prediction method combined with radial basis ...
Di Zhao, Huaming Qian, Dingjie Xu
doaj +1 more source
Online Discrimination of Nonlinear Dynamics with Switching Differential Equations
How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic processes (walking or running) which are active one at a time and which may ...
Bitzer, Sebastian +2 more
core
Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems
The application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
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This paper considers the estimation of SOC and SOH for lithium batteries using multi-innovation Levenberg–Marquardt and adaptive weighting unscented Kalman filter algorithms.
Fengyuan Fang, Caiqing Ma, Yan Ji
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Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter. [PDF]
Zhang G +5 more
europepmc +1 more source
Device-Free Tracking through Self-Attention Mechanism and Unscented Kalman Filter with Commodity Wi-Fi. [PDF]
Nkabiti KP, Chen Y.
europepmc +1 more source
The Invariant Unscented Kalman Filter
This article proposes a novel approach for nonlinear state estimation. It combines both invariant observers theory and unscented filtering principles whitout requiring any compatibility condition such as proposed in the -IUKF algorithm. The resulting algorithm, named IUKF (Invariant Unscented Kalman Filter), relies on a geometrical-based constructive ...
Condomines, Jean-Philippe +2 more
openaire +1 more source
Optimization of an unscented Kalman filter for an embedded platform. [PDF]
Graybill PP, Gluckman BJ, Kiani M.
europepmc +1 more source
Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering Methods
This paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based ...
Kalil Erazo
doaj +1 more source
Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction. [PDF]
Luo S, Niu J, Zheng P, Jing Z.
europepmc +1 more source

