Results 151 to 160 of about 18,774 (193)
Optimal LQG controller design for inverted pendulum systems using a comprehensive approach. [PDF]
Sci RepRani M, Kamlu SS.
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RecovGait: Occluded Parkinson's Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique. [PDF]
Sensors (Basel)Yeong CW +5 more
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Nonlinear Dynamics, 2021
The identification of time-varying physical parameters of nonlinear systems is still a challenging task. Limited studies based on the wavelet multiresolution analysis (WMA) have been attempted, which requires full measurements of structural displacement, velocity and acceleration responses of all degrees of freedom and exact information of external ...
Ning Yang, Jun Li, Ying Lei, Hong Hao
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The identification of time-varying physical parameters of nonlinear systems is still a challenging task. Limited studies based on the wavelet multiresolution analysis (WMA) have been attempted, which requires full measurements of structural displacement, velocity and acceleration responses of all degrees of freedom and exact information of external ...
Ning Yang, Jun Li, Ying Lei, Hong Hao
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A Comparison of EKF, UKF, FastSLAM2.0, and UKF-based FastSLAM Algorithms
2012 IEEE 16th International Conference on Intelligent Engineering Systems (INES), 2012This study aims to contribute a comparison of various simultaneous localization and mapping (SLAM) algorithms that have been proposed in literature. The performance of Extended Kalman Filter (EKF) SLAM, Unscented Kalman Filter (UKF) SLAM, EKF-based FastSLAM version 2.0, and UKF-based FastSLAM (uFastSLAM) algorithms are compared in terms of accuracy of ...
Kurt Yavuz, Zeyneb, Kurt Yavuz, Zeyneb
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Geomagnetic orbit determination: EKF or UKF?
Aircraft Engineering and Aerospace Technology, 2021Purpose Autonomous orbit determination using geomagnetic measurements is an important backup technique for safe spacecraft navigation with a mere magnetometer. The geomagnetic model is used for the state estimation of orbit elements, but this model is highly nonlinear.
Wu, Jin +4 more
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Distributed Nonlinear Fusion UKF
2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020This paper is concerned with the distributed fusion estimation problem for nonlinear multi-sensor systems. As is well known, the weighted fusion methods minimize the trace of fusion estimate error covariance, and it can be divided into three categories: scalar weighting, diagonal matrix weighting and matrix weighting, in which the matrix weighting has ...
Zhongyao Hu +4 more
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Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007
In this paper we propose a SLAM framework which is based on an algorithm that combines an unscented particle filter (UPF) and unscented Kalman filters (UKFs). A UPF is used to estimate robot's poses and the UKFs are used to represent landmark positions.
Xiang Wang, Hong Zhang
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In this paper we propose a SLAM framework which is based on an algorithm that combines an unscented particle filter (UPF) and unscented Kalman filters (UKFs). A UPF is used to estimate robot's poses and the UKFs are used to represent landmark positions.
Xiang Wang, Hong Zhang
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Multicue HMM-UKF for real-time contour tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006We 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 +2 more
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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 +2 more
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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 +2 more
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Improving RBF Networks using Square Root UKF
2007 IEEE International Conference on Control and Automation, 2007A 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 +3 more
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