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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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 104; S. 104308
Hauptverfasser:	GhaemiDizaji, Manizheh, Dadkhah, Chitra, Leung, Henry
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2021
Schlagworte:	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-Zugang:	Volltext
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