Results 51 to 60 of about 1,611 (218)

Sigma Point Filters For Dynamic Nonlinear Regime Switching Models [PDF]

, 2015
In this paper we take three well known Sigma Point Filters, namely the Unscented Kalman Filter, the Divided Difference Filter, and the Cubature Kalman Filter, and extend them to allow for a very general class of dynamic nonlinear regime switching models.
Binning, Andrew, Maih, Junior
core   +2 more sources

DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model

IEEE Access, 2019
A novel nonlinear attitude error model based on square root cubature information filter (SR-CIF) is proposed aiming to speed up the convergence rate of DVL-aided strapdown inertial navigation system (SINS) in-motion initial alignment for autonomous ...
Lu Zhang, Wenqi Wu, Maosong Wang, Yan Guo   +3 more
doaj   +1 more source

Adaptive Non-Linear Joint Probabilistic Data Association for Vehicle Target Tracking

IEEE Access, 2021
This paper investigated the problem of multi-target tracking (MTT) over a vehicle sensor network. A novel adaptive square root cubature joint probabilistic data association (ASRCJPDA) was proposed.
Shijie Zhao, Yang Wang, Pengyu Wang, Tianfei Ma, Konghui Guo   +4 more
doaj   +1 more source

A Probabilistic Perspective on Gaussian Filtering and Smoothing

, 2010
We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of computing/approximating the means and ...
Deisenroth, MP, Ohlsson, H
core   +1 more source

Comparison of sigma-point filters for state estimation of diabetes models [PDF]

, 2014
In physiological control there is a need to esti- mate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma- point filters
Benyó, Z., Eigner, Gy., Kovács, Levente, Rudas, I ., Szalay, P.   +4 more
core   +1 more source

Robust Filtering and Smoothing with Gaussian Processes

, 2012
We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function are described by non-parametric Gaussian process (GP) models.
,, Deisenroth, MP, Hanebeck, UD, Huber, MF, Rasmussen, CE, Turner, RD   +5 more
core   +1 more source

Low-cost sensors based multi-sensor data fusion techniques for RPAS navigation and guidance [PDF]

, 2015
In order for Remotely Piloted Aircraft Systems (RPAS) to coexist seamlessly with manned aircraft in non-segregated airspace, enhanced navigational capabilities are essential to meet the Required Navigational Performance (RNP) levels in all flight phases.
Cappello, F, Liu, J, Ramasamy, S, Sabatini, R   +3 more
core   +1 more source

Quadrature filters for one-step randomly delayed measurements [PDF]

, 2016
In this paper, two existing quadrature filters, viz., the Gauss–Hermite filter (GHF) and the sparse-grid Gauss–Hermite filter (SGHF) are extended to solve nonlinear filtering problems with one step randomly delayed measurements. The developed filters are
Abhinoy Kumar Singh, Arasaratnam, Arasaratnam, Bar-Shalom, Bar-Shalom, Bhaumik, Bhaumik, Carazo, Carazo, Chalasani, Challa, Chang, Farina, Golub, Haleh, Haykin, Hsiao, Ito, Jia, Jia, Julier, Krylov, Larsen, Li, Norgaard, Paresh Date, Ponomareva, Press, Ray, Shovan Bhaumik, Singh, Smolyak, Suzdaleva, Thomopoulos, Wang, Wang   +35 more
core   +1 more source

Square-root filtering via covariance SVD factors in the accurate continuous-discrete extended-cubature Kalman filter

, 2023
This paper continues our research devoted to an accurate nonlinear Bayesian filters' design. Our solution implies numerical methods for solving ordinary differential equations (ODE) when propagating the mean and error covariance of the dynamic state. The
Kulikov, Gennady Yu., Kulikova, Maria V.
core   +1 more source

Research on Active Collision Avoidance Control of Vehicles Based on Estimation of Road Surface Adhesion Coefficient

World Electric Vehicle Journal
In order to solve the problem that intelligent vehicle active collision avoidance systems have different decision-making results under different road conditions, the square-root cubature Kalman filtering algorithm is used to estimate the road adhesion ...
Hongxiang Wang, Jian Wang, Ruofei Du
doaj   +1 more source