Information Fusion of Ultrasonic Sensor Based on RBF Network in Obstacle-Avoidance System of Mobile Robot

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Artificial neural networks are applied to multi-sensor information fusion (MSIF) in obstacle-avoidance system of mobile robot. BP and RBF networks are presented, and comparison is made in the simulation experiment. Results show that RBF network is more effective to deal with information of multi-sensor. It can become an important method for multi-sensor information fusion.

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Edited by:

Qi Luo

Pages:

791-795

Citation:

W. Huang et al., "Information Fusion of Ultrasonic Sensor Based on RBF Network in Obstacle-Avoidance System of Mobile Robot", Applied Mechanics and Materials, Vols. 20-23, pp. 791-795, 2010

Online since:

January 2010

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$38.00

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