Results 171 to 180 of about 19,182 (197)

Compressed Unscented Kalman filter-based SLAM

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014
This paper proposes a real-time nonlinear filtering approach for the SLAM problem, termed as compressed Unscented Kalman filter (CUKF). A partial sampling strategy was recently proposed to make the computational complexity of the UKF quadratic with the state-vector dimension.
Jiantong Cheng, Jonghyuk Kim, Zhenyu Jiang 0005, Xixiang Yang   +3 more
openaire   +1 more source

Comment on “Ensemble Kalman filter with the unscented transform”

Physica D: Nonlinear Phenomena, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Adaptive Unscented Kalman Filter

2011
Bilinen Geleneksel Kalman Filtresi doğru bir sistem modeli ve tam stokastik bilgi gerektirir. Fakat, pek çok gerçek uygulamada sistem bilgisi tam olarak bilinmez veya yanlış bilinir. Bu nedenle filtre ıraksayabilir veya yanlı tahminler elde edilebilir.
KÖKSAL BABACAN, Esin, ÖZBEK, Levent, BİÇER, Cenker   +2 more
openaire   +1 more source

On using the output progression in unscented Kalman filtering

at - Automatisierungstechnik
Abstract By calculating the state from past output samples, Newton observers (NO) provide an intuitive approach to state estimation in nonlinear systems. However, due to their sensitivity to measurement noise, they failed to become established.
Florian Meiners, Jürgen Adamy
openaire   +1 more source

Solution Separation Unscented Kalman Filter

2019 22th International Conference on Information Fusion (FUSION), 2019
Jindrich Duník, Ondrej Straka, Erik Blasch   +2 more
openaire   +2 more sources

Unscented Kalman filter

2019
Shovan Bhaumik, Paresh Date
openaire   +1 more source

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Neurocomputing, 2020
Zhang Yong, Cheng Cheng, Guijun
exaly  

Fractional Unscented Kalman Filter

Journal of Electronics & Information Technology, 2012
Yan Liu, Yi-fei Pu, Xiao-dong Shen, Ji-liu Zhou   +3 more
openaire   +1 more source

Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system

Information Fusion, 2020
Gaoge Hu, Bingbing Gao, Yongmin Zhong
exaly  

Estimation of time-varying noise parameters for unscented Kalman filter

Mechanical Systems and Signal Processing, 2022
Ka-Veng Yuen
exaly