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Fuzzy-tuned Stochastic Scanpaths for AGV Vision

  • I. J. Griffiths
  • Q. H. Mehdi
  • N. E. Gough

Abstract

This paper details work on the development of an adaptive active vision system for an automated guided vehicle. An initial solution to the task of providing intelligent control of the saccades with which the AGV examines its environment is presented. A simple fuzzy logic technique suitable for implementation on a microcontroller is developed by using stochastic transition matrices. The results presented show the success of the technique in maintaining interest in objects previously located within the environment, locating new objects in an environment and making a compromise between the two.

Keywords

Fuzzy Membership Knowledge Factor Mobile Object Attention Factor Stochastic Transition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • I. J. Griffiths
    • 1
  • Q. H. Mehdi
    • 1
  • N. E. Gough
    • 1
  1. 1.School of Computing and Information TechnologyUniversity of WolverhamptonWolverhamptonUK

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