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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/70236

    題名: 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
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Self-localization;Humanoid soccer robot;Re-ducing complexity;Higher localization ratio
    日期: 2008
    上傳時間: 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.
    顯示於類別:[電機工程學系暨研究所] 會議論文





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