Global urban localization of an outdoor mobile robot with genetic algorithms

Date

2008-02-26

Author

DOĞRUER, CAN ULAŞ
Koku, Ahmet Buğra
Dölen, Melik

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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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Citation Formats

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.