English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49605/84835 (58%)
Visitors : 7687286      Online Users : 92
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/52533


    Title: 像素差異法於傾斜面之目標物距離量測與定位
    Other Titles: Localization of objects on an oblique plane via pixel variation of CCD images
    Authors: 秦克威;Chin, Ke-wei
    Contributors: 淡江大學電機工程學系碩士班
    許陳鑑
    Keywords: 距離量測;影像式量測;PTZ 攝影機;定位;量測系統;Distance measurement;image-based measurement;PTZ camera;localization;measuring systems
    Date: 2010
    Issue Date: 2010-09-23 17:53:00 (UTC+8)
    Abstract: 本文首先提出一種影像式量測方法,用以量測傾斜面上目標物之距離及傾斜角度,作法上係使用一台PTZ(Pan/Tilt/Zoom) Camera作為攝影機具,利用其變焦功能模擬出不同攝影距離所產生影像畫面,再藉由目標物於影像畫面中像素值的差異,實現對於傾斜面上目標物體之距離與角度量測,並進一步完成目標物體之二維平面定位。最後,本文再以實際的量測定位實驗及記錄,證實此整合式系統的準確性及實用性。
    This thesis presents an image-based system for measuring target objects on an oblique surface based on pixel variation of CCD images. By using the zooming function of a PTZ camera, we can simulate two images at two different photographing distances. By using the different pixel counts of the target object in the CCD image frame, two-dimensional localization of the target object on the oblique plane can be accomplished. To validate the effectiveness and viability of the proposed method, practical experiments are conducted in the thesis. Experiment results demonstrate that the proposed measuring system has a satisfactory accuracy in self-localization for mobile robots.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML165View/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