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Proceedings Paper

Multi-sensors data fusion algorithm of improved Dempster-Shafer evidence reasoning
Author(s): Ming-fang Wang; Ming-e Zhu; Shao-jun Yu
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Paper Abstract

An improved multi-sensor data fusion algorithm based on Dempster-Shafer evidence theory and a criterion of the object evaluation are presented in this paper. The algorithm and the criterion investigate the monitor data of the indoor air that is the research object, and evaluate the quality grade of the indoor air. Experiment shows that the improved multi-sensor data fusion algorithm based on the Dempster-Shafer reasoning and the resulting evaluations are correct and solve the uncertainty problem which is produced in the multi-sensor information process.

Paper Details

Date Published: 1 October 2011
PDF: 5 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857J (1 October 2011); doi: 10.1117/12.913529
Show Author Affiliations
Ming-fang Wang, Central South Univ. of Forestry and Technology (China)
Ming-e Zhu, Central South Univ. of Forestry and Technology (China)
Shao-jun Yu, Central South Univ. of Forestry and Technology (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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