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

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

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

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available