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    ASIA unversity > 管理學院 > 經營管理學系  > 會議論文 >  Item 310904400/18390


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18390


    Title: Design a Support Vector Machine-based Intelligent System for Vehicle Driving Safety Warning
    Authors: 林哲聰;Lin, C.W;Huang, D.C.;陳永信;Chen*, Yung-Hsin
    Contributors: 經營管理學系
    Date: 2008-10
    Issue Date: 2012-11-26 12:48:03 (UTC+8)
    Abstract: "This paper reports the advancement of a research
    extension. The outcome is a device installed in a long-haul bus
    for daily operation. The incumbent system features the
    combination of Lane Departure Warning (LDW) function and
    Forward Collision Warning (FCW) function employing the
    Support Vector Machine (SVM) as the classifier. LDW
    recognizes the environment as in daytime or in nighttime by
    detecting a vanishing point and applies the appropriate
    thresholds for daytime and nighttime to enhance the detecting
    rate. The algorithmic components of LDW function include
    image overlapping, median filter, edge-enhancement filter and
    Hough Transform, while the FCW function identifies vehicles
    with a feature-based approach and verifies the vehicle
    candidates by the appearance-based approach. In addition, we
    propose a new detecting scheme by motion vector (MV)
    estimation, where the detection doesn't rely on the whole image
    inside the region of interest (ROI) but on the detection range of
    three different ranges to concurrently secure high detecting
    rate and low computing power. Besides, as distance estimation
    is the crucial part of FCW function, we create an innovative
    camera calibration algorithm working with an adjustment
    mechanism to enhance the accuracy of the distance estimation.
    The combination of refined LDW and FCW functions has
    successfully implemented in ADI-BF561 600MHz dual core
    DSP-based embedded system."
    Relation: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
    Appears in Collections:[經營管理學系 ] 會議論文

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