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.
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Pujol, F.A., García, J.M., Pujol, M., Rizo, R., Pujol, M.J. (2005). A Morphological Proposal for Vision-Based Path Planning. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_9
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DOI: https://doi.org/10.1007/11504894_9
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