礼貌斑马线司机提醒系统设计

Nan Fang, Zhiyong Zhang, Bingcan Xia, Zichen Yao
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引用次数: 0

摘要

为了有效避免交通事故的发生,保证行人的安全,本文提出了一种智能识别斑马线的方法。首先采集汽车数据记录仪的路况信息,对数字图像进行分析,并对斑马线进行处理识别。我们可以根据canny算子的边缘检测和Hough直线检测算法对斑马线进行识别,并根据识别结果设计智能语音响应提醒。实验证明,在正常照明条件下,通过行车视频可以有效识别并实时提醒斑马线,误认率在6.5%以内。本研究为斑马线的检测提供了一种有效的方法,在一定程度上保证了行人和驾驶员的双向安全,对于促进和谐道路交通安全具有重要的现实意义。
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Polite Zebra Crossing Driver Reminding System Design
In order to effectively avoid the occurrence of traffic accidents, and ensure the safety of pedestrians, the paper proposes an intelligent method of identifying zebra crossings. First, we collect the road condition information of the automobile data recorder, analyze digital image and process identify zebra crossings. We can identify zebra crossing according to the edge detection of canny operator and Hough straight line detection algorithm, and design intelligent voice response reminders according to the recognition. Experiments have proved that under normal lighting conditions, the zebra crossing can be effectively identified and reminded in real time through the driving video, and the misrecognition rate is within 6.5%. This research provides an effective method for the detection of zebra crossings, which guarantees the bilateral safety of pedestrians and drivers to a certain extent, and has important practical significance for promoting harmonious road traffic safety.
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