A hypothesis of state covariance decorrelation effects to partial observability SLAM

This paper analyze the performance of partial observability in simultaneous localization and mapping(SLAM) problem. The study focuses mainly on the effect of having a decorrelation technique known as Covariance Inflation to the estimation. The matrix inversion will be the main element to be investig...

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Main Authors: Ahmad, H (Author), Othman, N.A (Author), M Saari, M (Author), S Ramli, M (Author), M Mazlan, M (Author), Namerikawa, T (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2019-05-01.
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042 |a dc 
100 1 0 |a Ahmad, H  |e author 
100 1 0 |e contributor 
700 1 0 |a Othman, N.A  |e author 
700 1 0 |a M Saari, M  |e author 
700 1 0 |a S Ramli, M  |e author 
700 1 0 |a M Mazlan, M  |e author 
700 1 0 |a Namerikawa, T  |e author 
245 0 0 |a A hypothesis of state covariance decorrelation effects to partial observability SLAM 
260 |b Institute of Advanced Engineering and Science,   |c 2019-05-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16777 
520 |a This paper analyze the performance of partial observability in simultaneous localization and mapping(SLAM) problem. The study focuses mainly on the effect of having a decorrelation technique known as Covariance Inflation to the estimation. The matrix inversion will be the main element to be investigated through two conditions with respect to some defined environment namely as unstable partially observable SLAM and partially observable SLAM via matrix norm analysis. For assessment purposes, the Extended Kalman Filter estimation is referred as the estimator to understand how the conditions can influence the results. The simulation results depicted that, the matrix norm is able to determine the efficiency of estimation and is proportional to the uncertainties of the system. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Partial observability, SLAM, Extended Kalman Filter, Matrix Norm 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 14, No 2: May 2019; 588-596 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v14.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16777/11920 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16777/11920  |z Get fulltext