Results 151 to 160 of about 3,255 (177)
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Unscented Kalman filter for visual curve tracking

Image and Vision Computing, 2004
Abstract Visual contour tracking in complex background is a difficult task. The measurement model is often nonlinear due to clutter in images. Traditional visual trackers based on Kalman filters employ simple linear measurement models, and often collapse during the tracking process.
Peihua Li, Tianwen Zhang, Bo Ma
openaire   +1 more source

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   +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   +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
Duník, Jindřich   +2 more
openaire   +3 more sources

The Tensor Unscented Kalman Filter

IEEE Signal Processing Letters
Huaguo Zhang 0001   +5 more
openaire   +1 more source

Unscented Kalman filter

2019
Shovan Bhaumik, Paresh Date
openaire   +1 more source

Fractional Unscented Kalman Filter

Journal of Electronics & Information Technology, 2012
Yan Liu   +3 more
openaire   +1 more source

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