Multi-sensors data fusion algorithm of improved Dempster-Shafer evidence reasoning

Ming-fang Wang; Ming-e Zhu; Shao-jun Yu

doi:10.1117/12.913529

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1 October 2011 Multi-sensors data fusion algorithm of improved Dempster-Shafer evidence reasoning

Ming-fang Wang, Ming-e Zhu, Shao-jun Yu

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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82857J (2011) https://doi.org/10.1117/12.913529
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

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Ming-fang Wang, Ming-e Zhu, and Shao-jun Yu "Multi-sensors data fusion algorithm of improved Dempster-Shafer evidence reasoning", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857J (1 October 2011); https://doi.org/10.1117/12.913529

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