Results 151 to 160 of about 3,355 (179)
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Compressed Unscented Kalman filter-based SLAM
2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014This 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
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Unscented Kalman filter for visual curve tracking
Image and Vision Computing, 2004Abstract 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
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Unscented Kalman Filter for frequency and amplitude estimation
2011 IEEE Trondheim PowerTech, 2011This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self ...
Gonzalez-Longatt, Francisco +4 more
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Comment on “Ensemble Kalman filter with the unscented transform”
Physica D: Nonlinear Phenomena, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On using the output progression in unscented Kalman filtering
at - AutomatisierungstechnikAbstract 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
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Adaptive Unscented Kalman Filter
2011Bilinen 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
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Solution Separation Unscented Kalman Filter
2019 22th International Conference on Information Fusion (FUSION), 2019Duník, Jindřich +2 more
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The Tensor Unscented Kalman Filter
IEEE Signal Processing LettersHuaguo Zhang 0001 +5 more
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