English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3885958      在线人数 : 580
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/81365

    题名: Adaptive vision-based self-localization system for humanoid robot of RoboCup
    作者: Hsia, Chih-Hsien;Chiang, Jen-Shiun;Chang, Shih-Hung
    贡献者: 淡江大學電機工程學系
    关键词: Soccer robot;Adaptive vision-based self-localization system (AVBSLS);Humanoid robot
    日期: 2013-03
    上传时间: 2013-03-11 13:42:24 (UTC+8)
    出版者: Kumamoto: I C I C International
    摘要: Robotic soccer games represent the most significant form of research in artificial intelligence. Using the humanoid soccer robot’s basic movement and strategic actions, the robot takes part in a dynamic and unpredictable contest and must recognize its own position on the field at all times. Therefore, the localization system for the soccer robot represents the key technology for improving its performance. This work proposes a new approach for self-localization, an Adaptive Vision-Based Self-Localization System (AVBSLS), which allows the humanoid robot to integrate the information from the pan/tilt motors and a single camera to achieve self-localization. The proposed approach uses a measuring artificial neural network technique to adjust the position of the humanoid robot. A systematic method to measure the intrinsic parameters is proposed for the CCD camera adjustment. Using this approach, any type of CCD camera can be used to precisely calculate the robot’s position. The experimental results indicate that the average accuracy of the localization is 92.3% for a frame rate of 15 frames per second (FPS).
    關聯: International Journal of Innovative Computing, Information and Control 9(3), pp.991-1012
    显示于类别:[電機工程學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数



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