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Relative Self-Localization Estimation for Indoor Mobile Robot

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IT Convergence and Services

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 107))

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Abstract

It is important for an autonomous mobile robot to know where it is after movement. In this paper, we consider the problem of mobile robot indoor position estimation using only visual information from a single camera.

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References

  • Yuen DCK, Bruce A (2005) MacDonald: vision-based localization algorithm based on landmark matching, triangulation, reconstruction, and comparison. IEEE Trans Robot 21(2):217–226

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  • Koenig A, Kessler J, Gross H-M (2008) A graph matching technique for an appearance-based, visual SLAM-approach using Rao-Blackwellized particle filters. In: IEEE/RSJ international conference on intelligent robots and systems, pp 1576–1581

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Acknowledgments

This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology under Grant 2010-0006588.

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Correspondence to Xing Xiong .

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© 2011 Springer Science+Business Media B.V.

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Xiong, X., Choi, BJ. (2011). Relative Self-Localization Estimation for Indoor Mobile Robot. In: Park, J., Arabnia, H., Chang, HB., Shon, T. (eds) IT Convergence and Services. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2598-0_45

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  • DOI: https://doi.org/10.1007/978-94-007-2598-0_45

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2597-3

  • Online ISBN: 978-94-007-2598-0

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