Ranking sensors using an adaptive fuzzy logic algorithm |
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| Authors: | Shayer G. Cohen O. Korach E. Edan Y. |
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| Affiliation: | Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer Sheva, Israel; |
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| Abstract: | A procedure to rank sensors according to their noise rates was developed based on an adaptive fuzzy logic algorithm for sensor fusion. No a priori knowledge of the sensors performance is assumed. Simulation analysis indicated 83.33% successful ranking with noise rates up to 50%. In an indoor experiment with a mobile robot equipped with three logical sensors, 88% of the rankings were correct. The ranking procedure also indicates the ranking results success probability. |
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