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    ASIA unversity > 資訊學院 > 光電與通訊學系 > 期刊論文 >  Item 310904400/89080


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/89080


    Title: A lane detection approach based on intelligent vision
    Authors: Shu-Chung Yi;Yeong-Chin Chen;張清濠;Ching-Haur Chang
    Contributors: 光電與通訊學系
    Date: 2015-02
    Issue Date: 2015-08-07 11:19:43 (UTC+8)
    Abstract: This paper proposes driver assistant system architecture based on image processing techniques. A camera is mounted on the vehicle front window to detect the road lane markings and determine the vehicle’s position with respect to the lane lines. A modified approach is proposed to accelerate the HT process in a computationally efficient manner, thereby making it suitable for real-time lane detection. The acquired image sequences are analyzed and processed by the proposed system, which automatically detects the lane lines. The experimental results show that the system works successfully for lane line detection and lane departure prediction.
    Relation: Computers and Electrical Engineering
    Appears in Collections:[光電與通訊學系] 期刊論文

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