Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2013.6751570
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dc.titleAn intuitive and efficient switching particle filter for real-time vision-based localization
dc.contributor.authorTian, B.
dc.contributor.authorChew, C.-M.
dc.contributor.authorTang, H.
dc.contributor.authorYuan, M.
dc.date.accessioned2014-10-07T09:13:18Z
dc.date.available2014-10-07T09:13:18Z
dc.date.issued2013
dc.identifier.citationTian, B.,Chew, C.-M.,Tang, H.,Yuan, M. (2013). An intuitive and efficient switching particle filter for real-time vision-based localization. Proceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013 : 7-11. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICCIS.2013.6751570" target="_blank">https://doi.org/10.1109/ICCIS.2013.6751570</a>
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/85881
dc.description.abstractThe particle filter algorithm has been applied to mobile robot localization problem for more than a decade. In this paper, we present two extensions of the basic particle filter algorithm for humanoid robot vision-based localization in a soccer game. The individual particle reset module allows localization even in kidnapped robot problem. The 'switching algorithm' is developed to save computing time through adapting the population size of particles. The accuracy and efficiency of the proposed approaches have been verified in a simulated humanoid soccer environment. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCIS.2013.6751570
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/ICCIS.2013.6751570
dc.description.sourcetitleProceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013
dc.description.page7-11
dc.identifier.isiutNOT_IN_WOS
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