English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90451/105768 (86%)
Visitors : 11001443      Online Users : 612
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/4389


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4389


    Title: Estimation of moving vehicle locations using wheel shape information in single 2-D lateral vehicle images by 3-D computer vision techniques
    Authors: C. C. Lai;W. H. Tsai
    Contributors: Department of Information Communication
    Keywords: Estimation of lateral vehicle location;Driving assistance;Vehicle avoidance;Wheel shape;Ellipse detection;Computer vision
    Date: 1999-04
    Issue Date: 2009-11-25 10:31:09 (UTC+8)
    Publisher: Asia University
    Abstract: An approach to the estimation of moving lateral vehicle locations for driving assistance using wheel shape information in single 2-D vehicle images by 3-D computer vision techniques is proposed. The location scheme is supposed to be performed on a vehicle with a camera mounted on the front bumper. An analytical solution is applied to estimate locations of the lateral vehicle. Firstly, the rear wheel shape of a lateral vehicle moving in a nearby lane is imaged. By using the Hough transform, the projected wheel shape, which is an ellipse, is detected. Secondly, the equation of the detected ellipse is used to infer the orientation angle of the lateral vehicle with respect to the camera view direction. Finally, the center of the ellipse shape is used to determine the relative position of the lateral vehicle with respect to the camera lens center. Moreover, an edge-point verification algorithm is utilized to extract the ellipse shape more precisely in the image processing stage. Both computer simulated and real images are tested and good experimental results show the effectiveness of the proposed approach for estimating lateral vehicle locations. The results are useful for driving assistance and vehicle collision avoidance and are discussed in detail.
    Relation: Robotics and Computer Integrated Manufacturing 15 (2): 111-120
    Appears in Collections:[資訊傳播學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    0KbUnknown343View/Open
    310904400-4389.doc35KbMicrosoft Word320View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


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