A morphological proposal for vision-based path planning

  • Authors:
  • F. A. Pujol;J. M. García;M. Pujol;R. Rizo;M. J. Pujol

  • Affiliations:
  • Depto. Tecnología Informática y Computación;Depto. Tecnología Informática y Computación;Depto. Ciencia de la Computación e Inteligencia Artificial;Depto. Ciencia de la Computación e Inteligencia Artificial;Depto. Matemática Aplicada, Universidad de Alicante, Alicante, España

  • Venue:
  • IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
  • Year:
  • 2005

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Abstract

Many different path planning methods have been proposed over recent years, although there are only a few that deal with computer vision techniques. In this work we implement a path planning algorithm which takes into account a vision processing system. Thus, we develop a method that uses Mathematical Morphology to provide near-optimal paths throughout an environment. The experiments show that our path planning algorithm is able to locate good solution paths after a training process, which is necessary to fix some parameters. This will make possible its adaptation to a practical robot system.This work has been supported by the Spanish MCYT, project DPI200204434C0401 and by the Generalitat Valenciana, projects GV04B685,GV04B634.