MATHEMATICAL MORPHOLOGY AND ARTIFICIAL INTELLIGENCE APPLIED TO HELP GOLF-BALLS COLLECTING IN DRIVING RANGES
Published in International Journal of Applied Mathematics, 2014
Recommended citation: DE MELO, Maximilian Jaderson et al. MATHEMATICAL MORPHOLOGY AND ARTIFICIAL INTELLIGENCE APPLIED TO HELP GOLF-BALLS COLLECTING IN DRIVING RANGES. International Journal of Applied Mathematics, v. 27, n. 1, p. 73-88, 2014. www.diogenes.bg/ijam/contents/2014-27-1/8/8.pdf
Manual golf-balls collecting in indoor driving ranges is a tedious task. The objective of this paper is to propose a method that contributes to automate the golf-balls collecting in indoor driving ranges. This method applies Mathematical Morphology and Artificial Intelligence to help the balls collecting. The proposal is represented by a program based on Mathematical Morphology applied to balls detection and Genetic Algorithm applied to solve the Travelling Salesman Problem to conduct a virtual robot for balls collecting in a virtualized intelligent indoor driving range. Images of balls scattered on the ground were processed to obtain the results. The results show the relevance of our project as a method to help balls collecting in indoor driving ranges. Our proposal contributes to the implementation of a low computational-cost method for automatic organization of driving ranges and to low computational-cost intelligent environments.
Recommended citation: DE MELO, Maximilian Jaderson et al. MATHEMATICAL MORPHOLOGY AND ARTIFICIAL INTELLIGENCE APPLIED TO HELP GOLF-BALLS COLLECTING IN DRIVING RANGES. International Journal of Applied Mathematics, v. 27, n. 1, p. 73-88, 2014.