Efficient robot localization and SLAM algorithms using Opposition based High Dimensional optimization Algorithm

Particle filter (PF) is introduced to tackle the limitations of the Kalman filter which adopts Gaussian in the state and noise of the system. PFs have the problem of sample impoverishment and one approach to solve this problem is to optimize the proposal distribution shown by particles. This paper i...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 104; p. 104308
Main Authors:	GhaemiDizaji, Manizheh, Dadkhah, Chitra, Leung, Henry
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2021
Subjects:	FASTSLAM Localization Opposition based High Dimensional Optimization Particle Filter Unscented FASTSLAM FASTSLAM Particle Filter Unscented FASTSLAM Opposition based High Dimensional Optimization Localization
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
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