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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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
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
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-94-007-2598-0_45
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-2597-3
Online ISBN: 978-94-007-2598-0
eBook Packages: EngineeringEngineering (R0)