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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/89125

    Title: Self-Localization Based on Monocular Vision for Humanoid Robot
    Authors: Chang, Shih-Hung;Hsia, Chih-Hsien;Chang, Wei-Hsuan;Chiang, Jen-Shiun
    Contributors: 淡江大學電機工程學系
    Keywords: Self-Localization;Humanoid Soccer Robot;Neural Network;Monocular Vision
    Date: 2011-12-01
    Issue Date: 2013-05-17 10:55:52 (UTC+8)
    Publisher: 新北市:淡江大學
    Abstract: Robot soccer game is one of the significant and interesting areas among most of the autonomous robotic researches. Following the humanoid soccer robot basic movement and strategy actions, the robot is operated in a dynamic and unpredictable contest environment and must recognize the position of itself in the field all the time. Therefore, the localization system of the soccer robot becomes the key technology to improve the performance. This work proposes efficient approaches for humanoid robot and uses one landmark to accomplish the self-localization. This localization mechanism integrates the information from the pan/tilt motors and a single camera on the robot head together with the artificial neural network technique to adaptively adjust the humanoid robot position. The neural network approach can improve the precision of the localization. The experimental results indicate that the average accuracy ratio is 88.5% under frame rate of 15 frames per second (fps), and the average error for the distance between the actual position and the measured position of the object is 6.68 cm.
    Relation: Tamkang Journal of Science and Engineering=淡江理工學刊 14(4), pp.323-332
    DOI: 10.6180/jase.2011.14.4.05
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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