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

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/70236

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题名:	A feature-based visual self-localization algorithm for humanoid soccer robot system
作者:	Chang, Shih-Hung;Hsia, Chih-Hsien;Chang, Wei-Husan;Chiang, Jen-Shiun
贡献者:	淡江大學電機工程學系
关键词:	Self-localization;Humanoid soccer robot;Re-ducing complexity;Higher localization ratio
日期:	2008
上传时间:	2011-10-23 21:05:06 (UTC+8)
摘要:	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
關聯:	Proceedings of the 2008 CACS International Automatic Control Conferenc, 5p.
显示于类别:	[電機工程學系暨研究所] 會議論文

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