Results 41 to 50 of about 1,423 (188)

Vehicle State Estimation Using Interacting Multiple Model Based on Square Root Cubature Kalman Filter

open access: yesApplied Sciences, 2021
The distributed drive arrangement form has better potential for cooperative control of dynamics, but this drive arrangement form increases the parameter acquisition workload of the control system and increases the difficulty of vehicle control ...
Wan Wenkang   +3 more
doaj   +1 more source

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

open access: yes, 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   +3 more
core   +1 more source

Iterated Posterior Linearization Smoother [PDF]

open access: yes, 2017
This note considers the problem of Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Sigma-point approximations to the general Gaussian Rauch-Tung-Striebel smoother are widely used methods to tackle ...
Garcia-Fernandez, Angel F   +2 more
core   +1 more source

An Invariant Method for Electric Vehicle Battery State-of-Charge Estimation Under Dynamic Drive Cycles

open access: yesIEEE Access, 2023
This paper proposes a novel invariant extended Kalman filter (IEKF), a modified version of the extended Kalman filter (EKF), for state-of-charge (SOC) estimation of lithium-ion (Li-ion) battery cells.
Ali Wadi   +3 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

A Probabilistic Perspective on Gaussian Filtering and Smoothing

open access: yes, 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

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

open access: yes, 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   +35 more
core   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

Depth-Based Object Tracking Using a Robust Gaussian Filter

open access: yes, 2016
We consider the problem of model-based 3D-tracking of objects given dense depth images as input. Two difficulties preclude the application of a standard Gaussian filter to this problem.
Bohg, Jeannette   +5 more
core   +1 more source

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

open access: yes, 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

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