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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Pujol, F. A., García, J. M., Pujol, M., Rizo, R., & Pujol, M. J. (2005). A morphological proposal for vision-based path planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 62–64). Springer Verlag. https://doi.org/10.1007/11504894_9
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