Summary
The localization of mobile robots has been studied rigorously in the past. However, only a few studies have focused on developing specific Genetic Algorithms (GAs) to address the localization problem effectively. In this study; the global urban localization of an outdoor mobile platform is considered with the utilization of the odometer, the laser-rangeq finder measurements and the digital maps created from the relevant satellite images on the Internet. The localization issue is formulated as a constrained optimization problem. The study proposes a GA-based technique to solve the problem at hand efficiently.
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Dogruer, C.U., Koku, A.B., Dolen, M. (2008). Global Urban Localization of an Outdoor Mobile Robot with Genetic Algorithms. In: Bruyninckx, H., Přeučil, L., Kulich, M. (eds) European Robotics Symposium 2008. Springer Tracts in Advanced Robotics, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78317-6_11
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DOI: https://doi.org/10.1007/978-3-540-78317-6_11
Publisher Name: Springer, Berlin, Heidelberg
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