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Global urban localization of an outdoor mobile robot with genetic algorithms
Date
2008-02-26
Author
DOĞRUER, CAN ULAŞ
Koku, Ahmet Buğra
Dölen, Melik
Metadata
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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.
Subject Keywords
Localization
,
Remote sensing technology
,
Genetic algorithms
,
Mobile robotics
URI
https://hdl.handle.net/11511/41498
Journal
Springer Tracts in Advanced Robotics
DOI
https://doi.org/10.1007/978-3-540-78317-6_11
Collections
Department of Mechanical Engineering, Article
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C. U. DOĞRUER, A. B. Koku, and M. Dölen, “Global urban localization of an outdoor mobile robot with genetic algorithms,”
Springer Tracts in Advanced Robotics
, pp. 103–112, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41498.