Mobile Robot Indoor Positioning System Based on K-ELM
Joint Authors
Lu, Xiao
Sheng, Chunyang
Wang, Haixia
Zhang, Zhiguo
Cui, Wei
Li, Junliang
Liu, Qingde
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Mobile Robot Indoor Positioning System has wide application in the industry and home automation field.
Unfortunately, existing mobile robot indoor positioning methods often suffer from poor positioning accuracy, system instability, and need for extra installation efforts.
In this paper, we propose a novel positioning system which applies the centralized positioning method into the mobile robot, in which real-time positioning is achieved via interactions between ARM and computer.
We apply the Kernel extreme learning machine (K-ELM) algorithm as our positioning algorithm after comparing four different algorithms in simulation experiments.
Real-world indoor localization experiments are conducted, and the results demonstrate that the proposed system can not only improve positioning accuracy but also greatly reduce the installation efforts since our system solely relies on Wi-Fi devices.
American Psychological Association (APA)
Wang, Haixia& Li, Junliang& Cui, Wei& Lu, Xiao& Zhang, Zhiguo& Sheng, Chunyang…[et al.]. 2019. Mobile Robot Indoor Positioning System Based on K-ELM. Journal of Sensors،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1191554
Modern Language Association (MLA)
Wang, Haixia…[et al.]. Mobile Robot Indoor Positioning System Based on K-ELM. Journal of Sensors No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1191554
American Medical Association (AMA)
Wang, Haixia& Li, Junliang& Cui, Wei& Lu, Xiao& Zhang, Zhiguo& Sheng, Chunyang…[et al.]. Mobile Robot Indoor Positioning System Based on K-ELM. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1191554
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191554