An intuitive and efficient switching particle filter for real-time vision-based localization

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2013.6751570

Title:	An intuitive and efficient switching particle filter for real-time vision-based localization
Authors:	Tian, B. Chew, C.-M. Tang, H. Yuan, M.
Issue Date:	2013
Citation:	Tian, 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. https://doi.org/10.1109/ICCIS.2013.6751570
Abstract:	The 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.
Source Title:	Proceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013
URI:	http://scholarbank.nus.edu.sg/handle/10635/85881
DOI:	10.1109/ICCIS.2013.6751570
Appears in Collections:	Staff Publications

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