Results 1 to 10 of about 512,282 (391)
Generalized Nonlinear Complementary Attitude Filter [PDF]
Journal of Guidance, Control, and Dynamics, Vol. 34, No. 5, 2011,
pp. 1588-1592, 2011 This work describes a family of attitude estimators that are based on a generalization of Mahony's nonlinear complementary filter. This generalization reveals the close mathematical relationship between the nonlinear complementary filter and the more traditional multiplicative extended Kalman filter.
Jensen, Kenneth
arxiv +3 more sources
Simultaneous Localization and Mapping Based on Kalman Filter and Extended Kalman Filter [PDF]
Wireless Communications and Mobile Computing, 2020 For more than two decades, the issue of simultaneous localization and mapping (SLAM) has gained more attention from researchers and remains an influential topic in robotics.
Inam Ullah +3 more
semanticscholar +2 more sources
Correction Robot pose for SLAM based on Extended Kalman Filter in a Rough Surface Environment [PDF]
International Journal of Advanced Robotic Systems, 2009 This research deals with mobile robot SLAM algorithm based on extended kalman filter. To enhance a accuracy of robot pose, one more extended kalman filter is used in a rough surface environment.
Sukgyu Lee, Jaeyong Park, Park, Joohyun
doaj +3 more sources
A comparison of assimilation results from the ensemble Kalman Filter and a reduced-rank extended Kalman Filter [PDF]
Nonlinear Processes in Geophysics, 2003 The goal of this study is to compare the performances of the ensemble Kalman filter and a reduced-rank extended Kalman filter when applied to different dynamic regimes.
X. Zang, P. Malanotte-Rizzoli
doaj +3 more sources
The Invariant Extended Kalman Filter as a Stable Observer [PDF]
IEEE Transactions on Automatic Control, 2014 We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic nonlinear observer on Lie groups, for continuous-time systems with discrete observations.
A. Barrau, S. Bonnabel
semanticscholar +6 more sources
An Extended Kalman Filter with a Computed Mean Square Error Bound [PDF]
IEEE Control ana Decision Conference, 2014, Los Angeles, 2014 The paper proposes a new recursive filter for non-linear systems that inherently computes a valid bound on the mean square estimation error. The proposed filter, bound based extended Kalman, (BEKF) is in the form of an extended Kalman filter. The main difference of the proposed filter from the conventional extended Kalman filter is in the use of a ...
Hexner, Gyorgy, Weiss, Haim
arxiv +3 more sources
Applications of Kalman and Extended Kalman Filtering to Target Tracking
IRAQI JOURNAL OF STATISTICAL SCIENCES, 2006 This study deals with the famous trackers named Kalman and extended Kalman filters. This is introduced by describing the state space representation approach to model the target system. A modification to the state prediction equation of Kalman and extended Kalman filters is given in order to offer an ability of multi-step ahead prediction of the target ...
Basil Y. Thanoon +2 more
openalex +3 more sources
Kalman filter and extended Kalman filter [PDF]
, 2017 In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
Järvsoo, Johanna Adele
openaire +3 more sources
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
arXiv, 2018 Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications. In this paper, we introduce two algorithms of sparsity-based Kalman filters, namely the sparse UKF and the progressive EKF.
Kang, Wei, Xu, Liang
arxiv +4 more sources
AN APPROACH ON ADVANCED UNSCENTED KALMAN FILTER FROM MOBILE ROBOT-SLAM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In the past 30 years, Kalman filter is a classical method to solve the problem of simultaneous localization and mapping (SLAM) of mobile robots. Extended Kalman filter (EKF) and unscented Kalman filter (UKF) are derived from Kalman filter.
L. Yan, L. Zhao
doaj +1 more source