Results 81 to 90 of about 3,355 (179)
Journal of Aerospace Technology and Management, 2016 The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft.
Roberta Veloso Garcia +2 more
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Unscented Kalman Filtering for Articulated Human Tracking [PDF]
, 2011 We present an articulated tracking system working with data from a single narrow baseline stereo camera. The use of stereo data allows for some depth disambiguation, a common issue in articulated tracking, which in turn yields likelihoods that are practically unimodal.
Anders Boesen Lindbo Larsen +2 more
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Unscented type Kalman filter: limitation and combination
IET Signal Processing, 2013 This study investigates the shortcomings of existing unscented type Kalman filters (UTKFs) used for state estimation problem of non‐linear stochastic dynamic systems. There are three kinds of UTKFs – the traditional unscented Kalman filter, the cubature Kalman filter and the transformed unscented Kalman filter.
Lubin Chang +3 more
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Research on a mixed prediction method to vehicle integrated navigation systems
International Journal of Advanced Robotic Systems, 2019 Aiming to improve the positioning accuracy of vehicle integrated navigation system (strapdown inertial navigation system/Global Positioning System) when Global Positioning System signal is blocked, a mixed prediction method combined with radial basis ...
Di Zhao, Huaming Qian, Dingjie Xu
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Quadratic Extended and Unscented Kalman Filter Updates
2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)8 pages, 5 figures, 2025 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT ...
Simone Servadio, Chiran Cherian
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Научный вестник МГТУ ГА, 2016 The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the listed algorithms are presented and a corresponding software complex based on these algorithms is ...
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Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems
IET Radar, Sonar & NavigationThe application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
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The Invariant Unscented Kalman Filter
, 2017 This article proposes a novel approach for nonlinear state estimation. It combines both invariant observers theory and unscented filtering principles whitout requiring any compatibility condition such as proposed in the -IUKF algorithm. The resulting algorithm, named IUKF (Invariant Unscented Kalman Filter), relies on a geometrical-based constructive ...
Condomines, Jean-Philippe +2 more
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EnergiesThis paper considers the estimation of SOC and SOH for lithium batteries using multi-innovation Levenberg–Marquardt and adaptive weighting unscented Kalman filter algorithms.
Fengyuan Fang, Caiqing Ma, Yan Ji
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Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter. [PDF]
Sensors (Basel), 2022 Zhang G +5 more
europepmc +1 more source