English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60860/93526 (65%)
Visitors : 1508757      Online Users : 12
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/70506

    Title: Omnidirectional Vision-based Robot Localization on Soccer Field by Particle Filter
    Authors: Wong, Ching-Chang;Aoyama, H.;Ho, Cheng-Yao;Chen, Chia-Yang
    Contributors: 淡江大學電機工程學系
    Date: 2010-08-18
    Issue Date: 2011-10-23 21:22:21 (UTC+8)
    Publisher: Taipei:Institute of electrical and electronics engineers (IEEE)
    Abstract: An omnidirectional vision-based localization method based on the particle Alter is proposed to achieve the location of robot on a soccer field in this paper. Two kinds of sensor information are considered in the method to let the robot on the soccer field can estimate its location and then to decide an appropriate strategy. One is the robot action sensor information obtained by the motor's feedback and the other is the observation sensor information obtained by the image captured by an omnidirectional vision system. The action sensor information is used to expect the robot location distribution. The location distribution is represented by particles. The omnidirectional image is used to observe the environment information. The differences between these particles location's environment information and the robot observation environment information are considered to calculate the belief values of particles. Then the posture of the particle with the highest belief is used to be the estimated posture of the robot. Some experimental results are presented to illustrate the effectiveness of the proposed method.
    Relation: SICE Annual Conference 2010, Proceedings of, pp.2976-2981
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    Omnidirectional Vision-based Robot Localization on Soccer Field by Particle Filter.pdf全文檔1385KbAdobe PDF342View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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