Results 111 to 120 of about 7,896 (220)
Using the Unscented Kalman Filter in mono-SLAM with inverse depth parametrization for autonomous airship control [PDF]
, 2007 In this paper, we present an approach for aiding control of an autonomous airship by the means of SLAM. We show how the Unscented Kalman Filter can be applied in a SLAM context with monocular vision.
Sven Lange +5 more
core +1 more source
Adaptive unscented kalman filter for online soft tissues characterization [PDF]
, 2017 Online soft tissue characterization is important for robotic-assisted minimally invasive surgery to achieve precise and stable robotic control with haptic feedback.
Julian Smith (3070740) +3 more
core +3 more sources
Emitor: Jurnal Teknik ElektroState of Charge (SoC) adalah parameter kritis dalam Sistem Manajemen Baterai (BMS) lithium-ion, karena mempengaruhi keselamatan, kerahasiaan, dan efisiensi operasional.
Axiosa Nalendra Haidar Putra +3 more
doaj +1 more source
Adaptive filtering applications to satellite navigation [PDF]
, 2010 PhDDifferential Global Navigation Satellite Systems employ the extended Kalman filter to estimate the reference position error. High accuracy integrated navigation systems have the ability to mix traditional inertial sensor outputs with navigation ...
Zhahir, Md Amzari
core
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
openaire +1 more source
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
doaj
Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter
IEEE Access, 2019 By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
doaj +1 more source
Higher order sigma point filter: A new heuristic for nonlinear time series filtering [PDF]
, 2013 In this paper we present some new results related to the higher order sigma point filter (HOSPoF), introduced in [1] for filtering nonlinear multivariate time series. This paper makes two distinct contributions.
Date, P, Ponomareva, K
core +1 more source
Navigation system of a class of underwater vehicle based on adaptive unscented Kalman fiter algorithm [PDF]
, 2014 Inherent flaws in the extended Kalman filter (EKF) algorithm were pointed out and unscented Kalman filter (UKF) was put forward as an alternative. Furthermore, a novel adaptive unscented Kalman filter (AUKF) based on innovation was developed.
Li J(李静) +4 more
core
On Iterative Unscented Kalman Filter using Optimization
2019 22th International Conference on Information Fusion (FUSION), 2019 The unscented Kalman filter (UKF) is a very popular solution for estimation of the state in nonlinear systems. Similar to the extended Kalman filter (EKF) and contrary to the Kalman filter (KF) for linear systems, the UKF provides no guarantees that the filter updates will improve the filtered state estimate.
Skoglund, Martin +2 more
openaire +3 more sources