A New Adaptive Robust Unscented Kalman Filter for Improving the Accuracy of Target Tracking
IEEE Access, 2019 In target tracking, the tracking process needs to constantly update the data information. However, during data acquisition and transmission of sensors, outliers may occur frequently, and the model is disturbed by non-Gaussian noise, that affects the ...
Weidong Zhou, Jiaxin Hou
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Vehicle Target Tracking Algorithm Based on Improved Strong Tracking Unscented Kalman Filter
Applied SciencesThe tracking accuracy of the traditional Strong Tracking Unscented Kalman Filter algorithm (ST-UKF) decreases when the motion state of the traffic target changes significantly.
Feng Tian +3 more
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Numerical Fitting-based Likelihood Calculation to Speed up the Particle Filter [PDF]
, 2014 The likelihood calculation of a vast number of particles is the computational bottleneck for the particle filter in applications where the observation information is rich.
Corchado, Juan M. +4 more
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GP-SUM. Gaussian Processes Filtering of non-Gaussian Beliefs
, 2019 This work studies the problem of stochastic dynamic filtering and state propagation with complex beliefs. The main contribution is GP-SUM, a filtering algorithm tailored to dynamic systems and observation models expressed as Gaussian Processes (GP), and ...
AS Stordal +17 more
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Strong Tracking Unscented Kalman Filter for Identification of Inflight Icing
AerospaceAircraft icing degrades aerodynamic performance and poses safety risks, especially under nonlinear and uncertain conditions. In order to identify inflight icing in real time, this work proposes a Strong Tracking Unscented Kalman Filter (STUKF) which ...
Huangdi Luo, Jianliang Ai
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Fusión de Escáner Laser y Visión por Computador para la Detección de Peatones en Entornos Viarios
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2015 Resumen: Los Sistemas Avanzados de Ayuda a la Conducción, conocidos por sus siglas en inglés (ADAS), basados en tecnologías de la información, requieren sistemas capaces de detectar a los diferentes usuarios de la vía. Debido a la particularidad de estas
F. Garcia +4 more
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The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
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A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements [PDF]
, 2019 International audienceThe first stage in any control system is to be able to accurately estimate the system's state. However, some types of measurements are ambiguous (non-injective) in terms of state. Existing algorithms for such problems, such as Monte
Brusey, James +4 more
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Adaptive compensation for multi-axial real-time hybrid simulation via nonlinear parameter estimation
Frontiers in Built EnvironmentFor Real-time hybrid simulation (RTHS) to be stable and accurate, it is essential to address the time desynchronization issue between the numerical and physical substructures. Desynchronization is primarily caused by time delays, inherent dynamics of the
Santiago Ruiz, Wei Song
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Real-time model-based slam using line segments [PDF]
, 2006 . Existing monocular vision-based SLAM systems favour interest point features as landmarks, but these are easily occluded and can only be reliably matched over a narrow range of viewpoints. Line segments offer an interesting alternative, as line matching
J. Gates, M.A. Fischler, T. Drummond
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