A feature-based visual self-localization algorithm for humanoid soccer robot system

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Proceeding > Item 987654321/70236

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Title:	A feature-based visual self-localization algorithm for humanoid soccer robot system
Authors:	Chang, Shih-Hung;Hsia, Chih-Hsien;Chang, Wei-Husan;Chiang, Jen-Shiun
Contributors:	淡江大學電機工程學系
Keywords:	Self-localization;Humanoid soccer robot;Re-ducing complexity;Higher localization ratio
Date:	2008
Issue Date:	2011-10-23 21:05:06 (UTC+8)
Abstract:	Self-localization is critical in the mobile hu-manoid soccer robot systems. Robot can use the robot vision system to position itself, to recognize objects, to measure distance, and to find the coordinate of the objects. In this paper, we propose a visual self-localization algorithm for humanoid soccer robot. The proposed self-localization me-thod has the advantages of reducing complexity and higher localization ratio. Furthermore, the performance of the self-localization method can be easily improved by searching time. The experimental results indicate that the self-localization method can increase the sample accurate rate at the localization
Relation:	Proceedings of the 2008 CACS International Automatic Control Conferenc, 5p.
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Proceeding

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