ADAPTIVE DEVELOPMENT OF SVSF FOR A FEATURE-BASED SLAM ALGORITHM USING MAXIMUM LIKELIHOOD ESTIMATION AND EXPECTATION MAXIMIZATION

ADAPTIVE DEVELOPMENT OF SVSF FOR A FEATURE-BASED SLAM ALGORITHM USING MAXIMUM LIKELIHOOD ESTIMATION AND EXPECTATION MAXIMIZATION

ABSTRACT:  The smooth variable structure filter (SVSF) has been considered as the robust estimator. Like other filters, the SVSF needs an accurate system model and known noise statistics to approximate the posterior state. Unfortunately, the system cannot be accurately modeled, and the noise statis...

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Bibliographic Details
Main Authors: Heru Suwoyo, Yingzhong Tian, Wenbing Wang, Long Li, Andi Adriansyah, Fengfeng Xi, Guangjie Yuan
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2021-01-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
SLAM, ASVSF, MLE, EM, ICE
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1403

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https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1403

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