Abstract
This paper deals with mobile robot localization purpose. The presented solution is designed for indoor environment only. GPS navigation system cannot be used in environment inside of buildings. Alternative methods have to be used for this purpose. The mobile robot localization is essential part of autonomous mobile robotics. Mobile robot localization together with odometry is necessary for mobile robot navigation. Presented paper contains explanation of localization approach, which is based on probabilistic method. Next part of this paper is description of experimental odometry method, which is based on computer vision.
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Acknowledgement
This research was supported by grant of BUT IGA No. FSI-S-14-2533: “Applied Computer Science and Control”.
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Růžička, M., Mašek, P., Věchet, S. (2017). Implementation of Particle Filters for Mobile Robot Localization. In: Matoušek, R. (eds) Recent Advances in Soft Computing. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-319-58088-3_22
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DOI: https://doi.org/10.1007/978-3-319-58088-3_22
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