Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMECH.2006.252489
Title: Omnidirectional image matching for vision-based robot localization
Authors: Saedan, M.
Lim, C.W.
Ang Jr., M.H. 
Issue Date: 2006
Citation: Saedan, M.,Lim, C.W.,Ang Jr., M.H. (2006). Omnidirectional image matching for vision-based robot localization. 2006 IEEE International Conference on Mechatronics, ICM : 17-22. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMECH.2006.252489
Abstract: The new approach to utilize information from an omnidirectional image is presented in this paper. We describe the integration between the image matching and the Monte-Carlo localization that can be implemented in a large indoor environment. The robot is able to localize with reasonable accuracy despite no metric measurements from the image. Furthermore, the algorithm can recover quickly from localizing a robot at a wrong place. © 2006 IEEE.
Source Title: 2006 IEEE International Conference on Mechatronics, ICM
URI: http://scholarbank.nus.edu.sg/handle/10635/73704
ISBN: 0780397134
DOI: 10.1109/ICMECH.2006.252489
Appears in Collections:Staff Publications

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