基于坡度的车道偏离预警模型

Xueting Zheng, Zhengyou Wang, Yanan Zhang, Shanna Zhuang
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引用次数: 0

摘要

提出了一种基于坡度的车辆偏离预警模型。该模型分为两层判断条件。第一层以车道线的坡度作为判断条件。第二层以车辆中心与车道线的相对距离作为判断条件。通过判断,最终可以得到车辆当前的比偏差。该方法的平均检测误差在1%以内,每帧图像的识别时间为0.06s,人的正常反应时间在0.1s ~ 0.5s之间,因此可以在驾驶员的反应时间内将车辆的偏差反馈给驾驶员。终端,使驾驶员有足够的时间做出应急措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lane Departure Warning Model Based on Slope
This paper presents a vehicle departure warning model based on slope. This model is divided into two levels of judgment conditions. The first layer uses the slope of the lane line as the judgment condition. The second layer uses the relative distance between the center of the vehicle and the lane line as the judgment condition. Judging, the current specific deviation of the vehicle can finally be obtained. The average detection error of this method is within 1 %, the recognition time of each frame of image is 0.06s, and the normal reaction time of a person is between 0.1s 0.5s, so the deviation of the vehicle can be fed back to the driver within the response time of the driver. Terminal, so that the driver has enough time to make emergency measures.
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