Computationally Relaxed Unscented Kalman Filter-Reference-Cited by-同舟云学术

Computationally Relaxed Unscented Kalman Filter

Published:2023-03 Issue:3 Volume:53 Page:1557-1565
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Kuti Jozsef¹^ORCID,Rudas Imre J.¹^ORCID,Gao Huijun²^ORCID,Galambos Peter¹^ORCID

Affiliation:

1. Antal Bejczy Center for Intelligent Robotics, Óbuda University, Budapest, Hungary

2. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China

Funder

Bolyai Scholarship of the Hungarian Academy of Sciences and the

Bolyai+) New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10045549/09827982.pdf?arnumber=9827982

Reference34 articles.

1. Comparison of EKF and UKF for Spacecraft Localization via Angle Measurements

2. A comparison of EKF, UKF, FastSLAM2. 0, and UKF-based FastSLAM algorithms;kurt-yavuz;Proc IEEE 16th Int Conf Intell Eng Syst (INES),2012

3. A New Method for Generating Sigma Points and Weights for Nonlinear Filtering

4. Comparison of Estimation Accuracy of EKF, UKF and PF Filters

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