English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 56420/90269 (63%)
造访人次 : 11692944      在线人数 : 48
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/80808


    题名: An Efficient Object Recognition System For Humanoid Robot Vision
    作者: Chang, Wei-hsuan;Hsia, Chih-hsien;Tai, Yi-che;Chang, Shih-hung;Ye, Fun;Chiang, Jen-shiun
    贡献者: 淡江大學資訊工程學系
    关键词: Robot;RoboCup;Adaptive Resolution Method;Object Recognition;Real Time
    日期: 2009-12
    上传时间: 2013-03-07 14:00:49 (UTC+8)
    出版者: Taipei : Institute of electrical and electronics engineers (IEEE)
    摘要: The research of autonomous robots is one of the most important issues in recent years. In the numerous robot researches, the humanoid robot soccer competition is very popular. The robot soccer players rely on their vision systems very heavily when they are in the unpredictable and dynamic environments. This paper proposes a simple and fast real-time object recognition system for the RoboCup soccer humanoid league rules ofthe 2009 competition. This vision system can help the robot to collect various environment information as the terminal data to finish the functions ofrobot localization, robot tactic, barrier avoiding,..., etc. It can decrease the computing efforts by using our proposed approach, Adaptive Resolution Method (ARM), to recognize the critical objects in the contest field by
    object features which can be obtained easily. The experimental results indicate that the proposed approach can increase the real time and accurate recognition efficiency.
    關聯: Proceedings of the 2009 joint conferences on pervasive computing, pp.209-214
    DOI: 10.1109/JCPC.2009.5420187
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    An Efficient Object Recognition System For Humanoid Robot Vision.pdf7931KbAdobe PDF324检视/开启
    index.html0KbHTML173检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈