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Desensitized cubature Kalman filter with uncertain parameters
Journal of the Franklin Institute, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tai-Shan Lou +5 more
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Vehicle State Estimation Using Cubature Kalman Filter
2014 IEEE 17th International Conference on Computational Science and Engineering, 2014The vehicle state is of significant to examine and control vehicle performance. But some vehicle states such as vehicle velocity and side slip angle which are vital to active safety application of vehicle can not be measured directly and must be estimated instead.
Xiaoshuai Xin, Jinxi Chen, Jianxiao Zou
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A cubature Kalman filter with uncompensated biases
2013 6th International Congress on Image and Signal Processing (CISP), 2013An improved nonlinear filter is proposed in the framework of the cubature Kalman filter (CKF) with uncompensated biases. This filter can be applied for the nonlinear system with unknown random biases, which are unable to be modeled in practical situations.
Xia Ning, Jian Yang
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Cubature Kalman Filter Based on Strong Tracking
2015To improve the ability of dealing with inaccurate of model and statistic characteristics of noise, as well as the abrupt change of state of cubature Kalman filter (CKF), a new nonlinear filter, called Cubature Kalman Filter based on strong tracking (CKF-ST), is proposed in this paper.
Zhang Cun +5 more
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Adaptive Masreliez–Martin Fractional Embedded Cubature Kalman Filter
Circuits, Systems, and Signal Processing, 2022Jing Mu +4 more
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Cubature Kalman Filtering Theory & Applications
2009Doctor of Philosophy (PhD)
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The multiscale directional bilateral filter and its application to multisensor image fusion
Information Fusion, 2012Chengchao Li
exaly