DocumentCode
414223
Title
Approximate reasoning-based sensor fusion: a real case study
Author
Abdulghafour, M. ; Arafeh, B.
Author_Institution
Dept. of Comput. Sci., Sultan Qaboos Univ., Muscat, Oman
fYear
2004
fDate
19-23 April 2004
Firstpage
453
Lastpage
454
Abstract
The theme of this paper is to generate a consensus among sensors by combining measurements and resolving conflicts at various levels of sensor fusion. Resolving conflicts and reaching consensus among sensors are accomplished using two methods: Bayesian rules and the theory of fuzzy logic (a new fusion formula). Methods of fusion, Bayesian approach and the fuzzy fusion formula are analyzed and then used to fuse the generated models. Results obtained using the two methods are compared and evaluated.
Keywords
belief networks; case-based reasoning; fuzzy logic; fuzzy reasoning; sensor fusion; Bayesian rule; approximate reasoning-based sensor fusion; fuzzy fusion formula; fuzzy logic theory; Bayesian methods; Cameras; Computer aided software engineering; Fusion power generation; Fuzzy logic; Laser fusion; Laser modes; Laser theory; Layout; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN
0-7803-8482-2
Type
conf
DOI
10.1109/ICTTA.2004.1307827
Filename
1307827
Link To Document