Results 161 to 170 of about 18,880 (196)

Multicue HMM-UKF for real-time contour tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is further integrated with unscented Kalman filter to exploit object dynamics in nonlinear systems for robust contour tracking.
Yunqiang, Chen, Yong, Rui, Thomas S, Huang   +2 more
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Driver parameter estimation using joint E-/UKF and dual E-/UKF under nonlinear state inequality constraints

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
In the development of advanced driver-assist systems (ADAS) for lane-keeping, one important design objective is to appropriately share the steering control with the driver. Hence, the steering behavior of the driver must be well known beforehand. This paper adopts the well-known two-point visual driver model to characterize the steering behavior of the
null Changxi You, null Jianbo Lu, Panagiotis Tsiotras   +2 more
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Improving RBF Networks using Square Root UKF

2007 IEEE International Conference on Control and Automation, 2007
A method using unscented Kalman filter for training radial-basis-function networks (RBFN) is studied. Unscented Kalman filter (UKF) shows great advantages than algorithms such as extended Kalman filter (EKF) and dual extended Kalman filter(DEKF) by extending the nonlinear functions using the second order approximation comparing to the one order in EKF ...
null Dazi Li, null Haitao Zhang, null Qibing Jin, null Yanrui Geng   +3 more
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UKF Based Nonlinear Filtering Using Minimum Entropy Criterion

IEEE Transactions on Signal Processing, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Yu, Wang, Hong, Hou, Chaohuan
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UKF based robust attitude control for helicopter

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012
In order to handle the model uncertainty and the external disturbance, a robust attitude control method for helicopter robots is proposed in this paper. Unscented Kalman Filter (UKF) and backstepping technique are adopted in the attitude control design. Model-based backstepping control is presented to keep the desired helicopter attitude.
Qi Song, J. D. Han, Zhe Jiang
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Improvement of UKF Algorithm and Robustness Study

2009 International Workshop on Intelligent Systems and Applications, 2009
Iterated unscented Kalman filter (IUKF) algorithm has improved the unscented Kalman filter (UKF) and enhanced the performance of filter estimation by using Newton-Raphson iterative equation. This paper improves IUKF algorithm ulteriorly after detailedly analyzing principle of IUKF and its iterative equation, and proposes a new filtering algorithm with ...
Zhong-Kai Mou, Li-Fen Sui
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Gyro fault prediction algorithm based on UKF

2012 International Conference on Image Analysis and Signal Processing, 2012
Aimed at the gradient failure of the gyro drift increases, an algorithm based on estimating the angular rate according to the UKF and attitude kinematic equation for gyro fault prediction is presented in this paper. We use quaternion to describe the attitude kinematics equation, and the UKF filter model is created, which takes the satellite attitude ...
Chi Jun, Tian Lu
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Joint Visualization of UKF Tractography Data

2017
Tractography methods provide ways to explore white mater in brain. UKF Tractography is a promising one in processing cross fibers and edema regions. In order to get more insight into UKF tractography, we present a joint visualization scheme for UKF tractography data, which integrates and visualizes fiber tracts, diffusion tensors, and multiple tensor ...
Wen Zhao, Wenyao Zhang, Na Wang, Pin Liao   +3 more
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An SLAM algorithm based on improved UKF

2012 24th Chinese Control and Decision Conference (CCDC), 2012
Because of using system nonlinear model directly UKF overcomes the shortcomings of the methods such as EKF that they easily introduces truncation errors in the process of lining model .So it is widely used in SLAM problem. Because the square root of filter has the advantages that it can ensure the covariance matrix nonnegative, a square root version of
null Liping Qu, null Shuiqing He, null Yongyin Qu   +2 more
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Vehicle magnetic field compensation method using UKF

IEEE 2011 10th International Conference on Electronic Measurement & Instruments, 2011
Exact measurements of geomagnetic field is very important for navigation. In general, magnetometers fixed on the vehicles are prone to be disturbed by the magnetic field of the vehicles. In order to improve the navigation precision, magnetic field of vehicles must be compensated. In this paper, a new compensation method is proposed. Through analysis of
null Li Ji, null Pan Mengchun, null Luo Feilu, null Luo Shitu, null Zhang Qi   +4 more
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