A MAPAEKF-SLAM ALGORITHM WITH RECURSIVE MEAN AND COVARIANCE OF PROCESS AND MEASUREMENT NOISE STATISTIC

A MAPAEKF-SLAM ALGORITHM WITH RECURSIVE MEAN AND COVARIANCE OF PROCESS AND MEASUREMENT NOISE STATISTIC

The most popular filtering method used for solving a Simultaneous Localization and Mapping is the Extended Kalman Filter. Essentially, it requires prior stochastic knowledge both the process and measurement noise statistic. In order to avoid this requirement, these noise statistics have been defined...

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Bibliographic Details
Main Authors: Heru Suwoyo, Yingzhong Tian, Wenbin Wang, Md Musabbir Hossain, Long Li
Format: Article
Language:Indonesian
Published: Universitas Mercu Buana 2019-12-01
Series:Jurnal Ilmiah SINERGI
Subjects:
simultaneous localization and mapping
adaptive extended kalman filter
maximum a posteriori
fixed-interval smoothing method
root mean square error
Online Access:http://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/6066

Internet

http://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/6066

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