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On vision-based lane departure detection approach

机译:基于视觉的车道偏离检测方法

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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.
机译:本文分析了车道脱离检测方法的过程。在基于视觉的车道出发检测系统中,我们使用单个相机作为输入。在本文中,我们讨论了如何检测路线在路上的标记,并获得车辆和道路之间的关系。衍生一些测量以计算TLC(时间到穿越),用于测量车辆相对于通道的位置。此外,引入了前瞻性预测模式,以建立驾驶员,车辆和道路之间的关系。此外,可以得出标准来判断是否存在意外的车道偏离。仿真表明,当司机的状态出错时,我们的视觉巷道出发方法确实提供了有效的警报。

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