Particle Filter and Finite Impulse Response Filter Fusion and Hector SLAM to Improve the Performance of Robot Positioning

Particle Filter and Finite Impulse Response Filter Fusion and Hector SLAM to Improve the Performance of Robot Positioning

Indoor position estimation is essential for navigation; however, it is a challenging task mainly due to the indoor environments’ (a) high noise to signal ratio and (b) low sampling rate and (c) sudden changes to the environments. This paper uses a hybrid filter algorithm for the indoor positioning s...

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Bibliographic Details
Main Authors: Amin Bassiri, Mohammadreza Asghari Oskoei, Anahid Basiri
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2018/7806854
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