Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICMECH.2006.252489
DC Field | Value | |
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dc.title | Omnidirectional image matching for vision-based robot localization | |
dc.contributor.author | Saedan, M. | |
dc.contributor.author | Lim, C.W. | |
dc.contributor.author | Ang Jr., M.H. | |
dc.date.accessioned | 2014-06-19T05:38:23Z | |
dc.date.available | 2014-06-19T05:38:23Z | |
dc.date.issued | 2006 | |
dc.identifier.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. <a href="https://doi.org/10.1109/ICMECH.2006.252489" target="_blank">https://doi.org/10.1109/ICMECH.2006.252489</a> | |
dc.identifier.isbn | 0780397134 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/73704 | |
dc.description.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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICMECH.2006.252489 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | MECHANICAL ENGINEERING | |
dc.description.doi | 10.1109/ICMECH.2006.252489 | |
dc.description.sourcetitle | 2006 IEEE International Conference on Mechatronics, ICM | |
dc.description.page | 17-22 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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