基于边缘信息的行车视图交叉口图像识别

Yu-Kumg Chen, Yi-qing Lin
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引用次数: 1

摘要

车辆在高层建筑或高架桥下行驶时,GPS接收机可能会接收到卫星反射信号,也可能不会接收到卫星信号。这将导致严重的定位误差。这被称为全球卫星定位系统在城市大都市区的多径传输误差。本文利用从车辆事件记录仪视频中提取的驾驶视图图像,导出道路子图像,用于交叉口图像识别。该算法根据道路子图像的边缘比确定交叉口的位置。在完成交叉口图像识别后,再与地理信息系统进行比对,对GPS的多径传输误差进行校正。对一些视频进行了实验,验证了该方法的计算优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intersection image recognition for driving-view images with edge information
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.
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