Parameter evolution: a design pattern for active vision

Authors:
Michael Müller;Dennis Senftleben;Josef Pauli
Affiliations:
Lehrstuhl Intelligente Systeme, Fakultät für Ingenieurwissenschaften, Universität Duisburg-Essen, Duisburg, Germany;Lehrstuhl Intelligente Systeme, Fakultät für Ingenieurwissenschaften, Universität Duisburg-Essen, Duisburg, Germany;Lehrstuhl Intelligente Systeme, Fakultät für Ingenieurwissenschaften, Universität Duisburg-Essen, Duisburg, Germany
Venue:
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Year:
2009

Citing 5
Cited 0

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Abstract

In current robot applications the developer has to deal with changing environments, making a one-time calibration of algorithm parameters for the vision system impossible. A design pattern dealing with this problem thereby incorporating evolutionary strategies is presented and demonstrated on an example. The example shows that it is possible for the vision system to adjust its parameters automatically and to achieve results near to the optimum.