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Intersection image recognition for driving-view images with edge information

机译:带有边缘信息的驾驶视野图像的相交图像识别

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While a vehicle driving in the street below tall buildings or viaduct, GPS receiver may receive the satellite reflected signals or may not receive satellite signals. That will cause serious positioning errors. This is called as multipath transmission error of global satellite positioning system in the metropolitan area of a city. With using the driving-view image fetched from the video of vehicle event data recorder, a road subimage is derived for intersection image recognition in this paper. Based on edge ratio of road sub-image, the decision of intersection is determined in the proposed algorithm. Upon completion of intersection image recognition, and then with comparison of geographic information system, the multipath transmission error of GPS will be corrected. Experiments are carried out for some VEDR's videos to demonstration the computational advantage of the proposed method.
机译:虽然在高层建筑物或高架桥下方的街道中驾驶的车辆,但GPS接收器可以接收卫星反射信号或者可能无法接收卫星信号。这将导致严重定位错误。这被称为城市的大都市区全球卫星定位系统的多径传输错误。利用从车辆事件数据记录器的视频中获取的驱动视图图像,在本文中导出了一条道路子程以用于交叉图像识别。基于道路子图像的边缘比,在所提出的算法中确定交叉点的决定。在完成交叉图像识别后,然后与地理信息系统的比较,将校正GPS的多径传输误差。对一些VEDR的视频进行了实验,以证明所提出的方法的计算优势。

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