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Cubature Kalman smoothers

Automatica, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arasaratnam, Ienkaran, Haykin, Simon
exaly   +2 more sources

3D Multi-Object Tracking With Adaptive Cubature Kalman Filter for Autonomous Driving

IEEE Transactions on Intelligent Vehicles, 2023
A crucial and challenging issue in autonomous driving is dynamic road environment detection and 3D multi object tracking. In this article, we propose a novel framework for online 3D multi-object tracking to eliminate the influence of inherent uncertainty
Ge Guo, Shijie Zhao
semanticscholar   +1 more source

Seamless GPS/Inertial Navigation System Based on Self-Learning Square-Root Cubature Kalman Filter

IEEE transactions on industrial electronics (1982. Print), 2021
To improve the seamless navigation ability of an integrated Global Positioning System (GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy called the self-learning square-root- cubature Kalman filter (SL-SRCKF) is ...
Chong Shen   +7 more
semanticscholar   +1 more source

An Adaptive Robust Cubature Kalman Filter Based on Sage-Husa Estimator for Improving Ship Heave Measurement Accuracy

IEEE Sensors Journal, 2023
High-pass and Kalman filtering are two digital filtering methods for ship heave acceleration signals. However, the traditional Kalman method has dynamic model errors due to the dependence on the fast Fourier transform (FFT) identification model.
Tao Zou   +5 more
semanticscholar   +1 more source

A Stochastic Event-Triggered Robust Cubature Kalman Filtering Approach to Power System Dynamic State Estimation With Non-Gaussian Measurement Noises

IEEE Transactions on Control Systems Technology, 2023
In power system communication and control, the wide-area measurement system (WAMS) is usually adversely affected by noisy measurements and data congestion, posing great challenges to the stability and functionality of modern power grids.
Zhuguo Li   +4 more
semanticscholar   +1 more source

Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method

IEEE Transactions on Signal Processing, 2023
This article explores the problem of nonlinear state estimation in the presence of outlier-contaminated measurements. First, to deal with the non-stationary non-Gaussian noises caused by randomly occurring measurement outliers, we propose a new Gaussian ...
Hongpo Fu   +4 more
semanticscholar   +1 more source

Distributed Maximum Correntropy Cubature Information Filtering for Tracking Unmanned Aerial Vehicle

IEEE Sensors Journal, 2023
Aiming at improving the performance of tracking an unmanned aerial vehicle (UAV) on the battlefield, this article focuses on the algorithm involving tracking the maneuvering target with a distributed sensor network under non-Gaussian measurement noise. A
Yu Zhou   +6 more
semanticscholar   +1 more source

Cubature grids

International Journal of Quantum Chemistry, 2004
AbstractThis article applies group theory to the problem of calculating accurate cubature grids for three‐dimensional (3D) integrals that have an exponential weighting factor. The nodes of a cubature are divided into structures, each with the full symmetry of the octahedral group.
D. Rees, G. G. Hall
openaire   +1 more source

A Computationally Efficient Robust Cubature Kalman Filter With Multivariate Laplace Distribution

IEEE Transactions on Instrumentation and Measurement, 2023
This article investigates the nonlinear state estimation under heavy-tailed process and measurement noises (PAMNs), and the noises may be induced by sensor failures, measurement loss, modeling errors, environmental changes, or malicious cyberattacks ...
Hongpo Fu, Yongmei Cheng
semanticscholar   +1 more source

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