ASIA unversity:Item 310904400/4138
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21701770      Online Users : 508
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


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4138


    Title: Computer Vision Based Driving Assistance System
    Authors: tseng wei te
    Contributors: Department of Computer Science and Information Engineering
    Keywords: computer vision, driving assistance, land detection, vehicle detection
    Date: 2007
    Issue Date: 2009-11-18 13:14:09 (UTC+0)
    Publisher: Asia University
    Abstract: Traffic accidents are frequent nowadays. The high frequency of accidents may be because drivers do not pay enough attention to other vehicles or environmental conditions. In particular, the fact that a driver cannot see vehicles in the blind spot can cause accidents. Therefore, this thesis develops a driving assistance system based on computer vision. The system main function is to help the driver to identify the vehicles from the environment-related information. Vehicles move quickly on the highway, often approaching speeds of over 100km/h. Therefore, accidents can easily occur if drivers do not pay attention. The reaction time is often extremely short. The proposed system can identify vehicles at a distance of 30–50m, providing a driver with information about vehicles in the current environment, and enhancing the driver reaction time. Therefore, the system processing time must not exceed 0.98 seconds.
    However the system may process 20–40 frames in a second. A processing cycle can thus be completed in 20–50ms. The system includes both land detection and vehicle detection. The land and the vehicles detection use the basic image processing methods,
    which contains the gray scale, binary and region processing function. Finally, the original video image is mapped to be a vertical view displayed on the driver’s screen.
    Appears in Collections:[Department of Computer Science and Information Engineering] Theses & dissertations

    Files in This Item:

    File SizeFormat
    0KbUnknown288View/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