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
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;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
DOI :
10.1109/ICTTA.2004.1307827
