Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques
Joint Authors
Ullah, Inam
Zhang, Xuewu
Choi, Dongmin
Zhu, Jinxiu
Hou, Zhenguo
Su, Xin
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-05
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Mobile robot localization has attracted substantial consideration from the scientists during the last two decades.
Mobile robot localization is the basics of successful navigation in a mobile network.
Localization plays a key role to attain a high accuracy in mobile robot localization and robustness in vehicular localization.
For this purpose, a mobile robot localization technique is evaluated to accomplish a high accuracy.
This paper provides the performance evaluation of three localization techniques named Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF).
In this work, three localization techniques are proposed.
The performance of these three localization techniques is evaluated and analyzed while considering various aspects of localization.
These aspects include localization coverage, time consumption, and velocity.
The abovementioned localization techniques present a good accuracy and sound performance compared to other techniques.
American Psychological Association (APA)
Ullah, Inam& Su, Xin& Zhu, Jinxiu& Zhang, Xuewu& Choi, Dongmin& Hou, Zhenguo. 2020. Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214943
Modern Language Association (MLA)
Ullah, Inam…[et al.]. Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1214943
American Medical Association (AMA)
Ullah, Inam& Su, Xin& Zhu, Jinxiu& Zhang, Xuewu& Choi, Dongmin& Hou, Zhenguo. Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214943
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214943