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    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

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