Results 201 to 210 of about 13,707 (269)
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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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IEEE/ASME transactions on mechatronics, 2022
In this article, we combine nonlinear estimation and control methods for precise bending angle control in soft pneumatic actuators driven by a pressure source and single low-cost on/off solenoid valve.
Matheus S. Xavier, A. Fleming, Yu Yong
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In this article, we combine nonlinear estimation and control methods for precise bending angle control in soft pneumatic actuators driven by a pressure source and single low-cost on/off solenoid valve.
Matheus S. Xavier, A. Fleming, Yu Yong
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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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An Improved UKF Algorithm for Extracting Weak Signals Based on RBF Neural Network
IEEE Transactions on Instrumentation and Measurement, 2022It is difficult to extract effective weak signals from complex noise environment in many engineering applications. To address the problem, an improved unscented Kalman filter (UKF) algorithm based on a radial basis function-neural network (RBF-NN) is ...
Guanyu Zhang +6 more
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IEEE Systems Conference, 2022
Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF) are three popular algorithms to address obstacle position estimate and tracking problems.
Kaiqiao Tian, M. Radovnikovich, K. Cheok
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Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF) are three popular algorithms to address obstacle position estimate and tracking problems.
Kaiqiao Tian, M. Radovnikovich, K. Cheok
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An Adaptive and Robust UKF Approach Based on Gaussian Process Regression-Aided Variational Bayesian
IEEE Sensors Journal, 2021In this study, both adaptive and robust one is proposed, considering that the properties of a classic unscented Kalman filter (UKF) can be degraded severely by the outliers measured in the contamination distribution and the effects of time-varying noise.
Xu Lyu, B. Hu, Kailong Li, Lubin Chang
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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 0008, Hong Zhang 0013
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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 0008, Hong Zhang 0013
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An IMM-UKF Aided SINS/USBL Calibration Solution for Underwater Vehicles
IEEE Transactions on Vehicular Technology, 2020To improve the efficiency of the calibration process and enhance the adaptability of the calibration method, an interacting multiple model and unscented Kalman filter (IMM-UKF) aided strapdown inertial navigation system (SINS)/Ultra-Short Base Line (USBL)
Yiqing Yao +3 more
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Research on multi-sensor pedestrian dead reckoning method with UKF algorithm
, 2021In order to solve the problem that the positioning error of pedestrian dead reckoning (PDR) with inertial measurement unit will accumulate over time, an indoor pedestrian space estimation method based on multi-sensor fusion is proposed.
Huixia Li +4 more
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A high precision indoor positioning method based on UKF
Journal of Intelligent & Fuzzy Systems, 2022Aiming at the nonlinear filter problem in Ultra Wide Band (UWB) navigation and position, a high-order Unscented Kalman Filter (UKF) position method is proposed. On the one hand, the position and velocity are used as state variables to establish a nonlinear filtering model based on UWB position system.
Mujie Zhao, Tao Zhang, Di Wang
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