Research on a Rapid Self-Localization Method for Robot Based on Information Fusion

Bo Yang; Guo Liang Zhang; Bin Jing

doi:10.4028/www.scientific.net/AMM.26-28.25

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 26-28Research on a Rapid Self-Localization Method for...

Research on a Rapid Self-Localization Method for Robot Based on Information Fusion

Abstract:

This article proposed a rapid mobile robot self-localization method based on laser data, encoder data and azimuth compass data. This method can avoid tremendous error from pure mileage integral, and tremendous compute task from pure laser data registration after extract laser character. It only based on the similarity of adjacent laser data after pretreatment, then syncretized the estimated rotation angel and parallel displacement from encoder and azimuth compass, find the best transform with quasi Newton method. At last the mobile robot self-localization was realized. Experiment result demonstrated the reliability of this method.

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Periodical:

Applied Mechanics and Materials (Volumes 26-28)

Pages:

25-31

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.26-28.25

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Online since:

June 2010

Authors:

Bo Yang, Guo Liang Zhang, Bin Jing

Keywords:

Data Syncretize, Kemel Correlation, Mobile Robot, Quasi Newton, Self-Localization

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References

[1] CoxT, W ilfong G. Autonomous robot vehicle[M]. Lon-don: Springer-Verlag, 1990: 167-193.

Google Scholar

[2] Roumeliotis S I, BekeyG A. Bayesian estimation and kal-man filtering an unified framework formobile robot locali-zation[J]. Proceedings of the IEEE InternationalConfer-ence on Robotics and Automation, 2000: 2985-2992.

Google Scholar

[3] YANG Yi, YANG Chang-jiang, HU Zhan-yi. Robot self location based on vertical and horizontal lines. Chinese J. Computers, 1997, 7 (7) : 673-682.

Google Scholar

[4] Sun Guangcheng, marking line feature matching robot self-localization method [J].

Google Scholar

[5] LIU Juneheng, YUAN Kui, ZHOU Qingrui, Peng Yizhun. An approach for robot self-loealization based on landmark. Seience Technology and Engineering, 2005, 9(11): 1265-1270.

Google Scholar

[6] NIU Jun, LI Yi-bin, SONG Rui. Mobile robot self-localization based on laser data registration. Journal of System Simulation, 2008, 7 (14) : 3803-3806.

Google Scholar

[7] WANG Jing-chuan, CHEN Wei-dong, CAO Qi-xin. Omni-vision and odometer based self-localization for mobile robot. Robot, 2005, 1 (1) : 41-45.

Google Scholar

[8] YUAN Yong-sheng, CHANG Qing-rui, YANG Wei-min. New multivariable nonparametric kernel density estimation model and its applieation. Journal of Lanzhou University (Natural Seienees) , 2009, 4(2): 132-137.

Google Scholar

[9] ]ZHANG Xue-xi, YANG Yi-min, HE Qi-cheng, XIA Yi-min. A self-localization method with monocular front vision for robot. Laser and Infrared, 2008, 8 (8) : 849-851.

DOI: 10.1109/icit.2005.1600761

Google Scholar