| Localization system for mobile robot using wireless communication with IR landmark |
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ACM International Conference Proceeding Series; Vol. 318
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Proceedings of the 1st international conference on Robot communication and coordination
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Athens, Greece
SESSION: Localizing and tracking
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Article No. 6
Year of Publication: 2007
ISBN:978-963-9799-08-0
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Authors
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Byungkon Sohn
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Electronics and Telecommunications Research Institute, Gajeongno, Yuseong-gu, Daejeon, South Korea
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Jaeyeong Lee
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Electronics and Telecommunications Research Institute, Gajeongno, Yuseong-gu, Daejeon, South Korea
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Heesung Chae
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Electronics and Telecommunications Research Institute, Gajeongno, Yuseong-gu, Daejeon, South Korea
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Wonpil Yu
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Electronics and Telecommunications Research Institute, Gajeongno, Yuseong-gu, Daejeon, South Korea
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IEEE Press
Piscataway, NJ, USA
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Downloads (6 Weeks): 26, Downloads (12 Months): 152, Citation Count: 1
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ABSTRACT
The localization of robots is a main problem to solve to make the robots navigate autonomously. This paper introduces an embedded indoor localization system for mobile robot. The system consists of a localization sensor that computes location of itself and infrared landmarks that are wirelessly controlled by the localization sensor. The localization sensor which is combined with an image sensor detects pixel positions of infrared sources from the landmark and by the pixel position the sensor figures out its position(x, y) and heading angle. The coverage of a localization space is enlarged by dynamically combining robot odometer and IR landmark. The advantages of the developed system can be found on its position accuracy, robustness and easy expansion of localization space.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY
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J. González , J. L. Blanco , C. Galindo , A. Ortiz-de-Galisteo , J. A. Fernández-Madrigal , F. A. Moreno , J. L. Martínez, Mobile robot localization based on Ultra-Wide-Band ranging: A particle filter approach, Robotics and Autonomous Systems, v.57 n.5, p.496-507, May, 2009
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