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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95935


    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: 2008-11
    Issue Date: 2014-02-13 11:23:40 (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 Conference,5頁
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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