Application of Adaptive Weighted Fusion in Robot Multi-Sensor Ranging System-Reference-Cited by-同舟云学术

Application of Adaptive Weighted Fusion in Robot Multi-Sensor Ranging System

Published:2012-01 Issue: Volume:443-444 Page:442-446
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Jiao De Qiang¹,Pang Li Li²,Teng Yu Juan¹

Affiliation:

1. Changchun University of Technology

2. Jilin University

Abstract

Ultrasonic seniors and infrared sensors are utilized in the robot to range and locate. The precision of the whole system is often impaired. In order to improve the system’s precision, the method of adaptive weighted fusion algorithm basing on minimum mean square error is employed in this paper. According to the experimental results, this method is highly effective in the further improvement of the system ranging precision.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.443-444.442.pdf

Reference5 articles.

1. Chen Guoliang, Huang Xinhan, and Wang Min, Design and implementation of information acquisition system architecture for multi-sensor Robots, High Technology Letters, vol. 13, no. 41, Dec. 2007, p.352–355.

2. Gao Yun, The design of ranging system in agriculture robot, Journal of Agricultural Mechanization Research, vol. 4, 2009, p.76–79.

3. Yan Li, Feng Gao, and Lin Tingqi, Study on multi-sensor data fusion for the wheeled mobile robot, Proceedings of the Fifth World Congress on Intelligent Control and Automation, Hangzhou, 2004, p.4623–4626.

4. Yang Yuanxi and Gao Weiguang, Integrated navigation based on robust estimation outputs of multi-sensor measurements and adaptive weights of dynamic model information, Geo-spatial Information Science (Quarterly), Vol. 8, Issue. 3, 2005, p.201–204.

5. Zhai Yili and Dai Yisong, Study of adaptive weighted fusion estimated algorithm of multisensor data, Acta Metrologica sinica, vol. 19, no. 1, 1998, p.69–75.