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

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.

  Info
Periodical
Edited by
Qi Luo
Pages
791-795
DOI
10.4028/www.scientific.net/AMM.20-23.791
Citation
W. Huang, Y. X. Yin, S. Ding, J. Dong, X. M. Ma, L. Zhang, "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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