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Novel Gain-Optimized Two-Step Fusion Filtering Method for Ranging-Based Localization Using Predicted Residuals. [PDF]
Sensors (Basel)Chang B, Zhang X, Sun N, Ni H.
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Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems. [PDF]
Sensors (Basel)Han B, Ge Z, Su Z, Hao J.
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Mechanical Systems and Signal Processing, 2022
Abstract The computational efficiency of a sampling based nonlinear Kalman filtering process is mainly conditional on the number of sigma/sample points required by the filter at each time step to effectively quantify statistical properties of related states and parameters.
Gordon P Warn
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Abstract The computational efficiency of a sampling based nonlinear Kalman filtering process is mainly conditional on the number of sigma/sample points required by the filter at each time step to effectively quantify statistical properties of related states and parameters.
Gordon P Warn
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GP-UKF: Unscented kalman filters with Gaussian process prediction and observation models
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007This paper considers the use of non-parametric system models for sequential state estimation. In particular, motion and observation models are learned from training examples using Gaussian process (GP) regression. The state estimator is an unscented Kalman filter (UKF). The resulting GP-UKF algorithm has a number of advantages over standard (parametric)
Jonathan Ko +3 more
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SPIE Proceedings, 2013
ABSTRACT This paper proposes an adaptive Unscented Kalman Filter (UKF) algorithm for Acoustic Emission (AE) source localization in plate-like structures in noisy environments. Over all, the proposed approach consists of four main stages: 1) feature extraction, 2) sensor selection based on a binary hypothesis testing, 3) sensor weighting based on a well-
Ehsan Dehghan Niri +2 more
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ABSTRACT This paper proposes an adaptive Unscented Kalman Filter (UKF) algorithm for Acoustic Emission (AE) source localization in plate-like structures in noisy environments. Over all, the proposed approach consists of four main stages: 1) feature extraction, 2) sensor selection based on a binary hypothesis testing, 3) sensor weighting based on a well-
Ehsan Dehghan Niri +2 more
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Journal of Hydrology, 2021
Abstract In regional frequency analysis, extreme rainfall patterns in a nonstationary environment are characterized by the time-dependent regional growth curves, in which location and scale parameters are the weighted values of at-site estimates from the sites within a homogeneous group.
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Abstract In regional frequency analysis, extreme rainfall patterns in a nonstationary environment are characterized by the time-dependent regional growth curves, in which location and scale parameters are the weighted values of at-site estimates from the sites within a homogeneous group.
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Michael Faraday IET International Summit 2015, 2015
The increasing demand for passenger safety and comfort has inspired to develop technologically sophisticated automobiles that provide improved vehicle handling. In automotive industry, current focus is on the development of active safety systems, which assist the driver in order to avoid critical situations. Unfortunately, some fundamental states which
S. Sen, A. Sutradhar, S. Chakraborty
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The increasing demand for passenger safety and comfort has inspired to develop technologically sophisticated automobiles that provide improved vehicle handling. In automotive industry, current focus is on the development of active safety systems, which assist the driver in order to avoid critical situations. Unfortunately, some fundamental states which
S. Sen, A. Sutradhar, S. Chakraborty
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2018 International Conference on Reconfigurable Mechanisms and Robots (ReMAR), 2018
Motivated by availability of autonomous reconfigurable robots, we have developed a reconfigurable quadruped robot, Scorpio, which can perform crawling and rolling locomotion. In this paper, we present an approach to the simultaneous localization and mapping (SLAM) for the quadruped robot in crawling locomotion to achieve its autonomous operation in an ...
Takuma Nemoto +4 more
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Motivated by availability of autonomous reconfigurable robots, we have developed a reconfigurable quadruped robot, Scorpio, which can perform crawling and rolling locomotion. In this paper, we present an approach to the simultaneous localization and mapping (SLAM) for the quadruped robot in crawling locomotion to achieve its autonomous operation in an ...
Takuma Nemoto +4 more
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