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An optical flow and hough transform based approach to a lane departure warning system

机译：基于光流和霍夫变换的车道偏离预警系统方法

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This paper presents an image-based lane departure warning (LDW) system using the Lucas-Kanada (L-K) optical flow and the Hough transform methods. Based on the status of the vehicle deviating from its heading lane, the method integrates both techniques to establish an operation algorithm to determine whether a warning signal should be issued. The L-K optical flow tracking is used when the lane boundaries cannot be detected, while the lane detection technique is used when they become available. Even though both techniques are used in the system, only one method is activated at any given time because each technique has its own advantages and also disadvantages. The image-based LDW system was road tested on rural highways and this paper briefly presents the system implementation and test results.
机译：本文提出了一种基于图像的车道偏离预警（LDW）系统，该系统使用Lucas-Kanada（L-K）光流和霍夫变换方法。基于车辆偏离其行驶方向的状态，该方法结合了两种技术来建立操作算法，以确定是否应发出警告信号。当无法检测到车道边界时使用L-K光流跟踪，而当车道边界可用时使用L-K光流跟踪。即使在系统中同时使用了这两种技术，在任何给定时间都只能激活一种方法，因为每种技术都有其自身的优点和缺点。基于图像的LDW系统在农村公路上进行了路测，本文简要介绍了该系统的实现和测试结果。

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