基于视觉的车道偏离检测方法

Wu Mo, X. An, Hangen He
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引用次数: 0

摘要

本文分析了车道偏离检测方法的过程。在我们的基于视觉的车道偏离检测系统中,我们使用单个摄像头作为输入。本文讨论了如何检测道路上的车道标记,并得到车辆与道路的关系。推导了一些测量值来计算TLC(到过车道的时间),用于测量车辆相对于车道的位置。引入前瞻性预测模型,建立人、车、路三者之间的关系。此外,该准则还可以判断是否存在非故意车道偏离。仿真结果表明,基于视觉的车道偏离方法能够在驾驶员状态异常时提供有效的报警。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On vision-based lane departure detection approach
This paper analyzes the process of lane departure detection approach. In our vision-based lane departure detection system, we use a single camera as input. In this paper, we discuss how to detect the lanes marking on the road and get the relationship between vehicle and road. Some measurements are derived to calculate TLC (time to lane crossing), for measuring the position of the vehicle relative to the lanes. Besides, the forward-looking predicting mode is introduced to establish the relationship among driver, vehicle, and road. Further more, the criterion can be got to tell whether there is an unintended lane departure. Simulations show that our vision-based lane departure approach does provide an effective alarm when the state of driver goes wrong.
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