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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
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Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2018/7806854 |
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