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A novel lane changing algorithm with efficient method of lane detection

机译:一种具有有效车道检测方法的新型车道变换算法

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This paper presents an efficient method of lane detection and apply the detection results in vehicle auto lane departure. The inverse perspective mapping image is taken for line detection. During image preprocessing, PPHT method and a third degree Bezier spline are applied for line fitting step. Meanwhile, linear clustering is taken to reduce the excessive lines. Not only the lines in the current driving lane can be detected, but also lines of neighboring lanes when vehicle is changing lanes can be detected. Besides, an algorithm of trajectory planning is introduced as a prerequisite for the implementation of lane changing. Fields results have shown the effectiveness of the proposed system.
机译:本文提出了一种有效的车道检测方法,并将检测结果应用到车辆自动车道偏离中。拍摄反透视映射图像以进行线检测。在图像预处理期间,将PPHT方法和三次Bezier样条应用于线拟合步骤。同时,采用线性聚类以减少过多的行。不仅可以检测当前行驶车道中的线,而且可以检测到当车辆改变车道时相邻车道的线。此外,还引入了轨迹规划算法,作为实现车道变换的先决条件。现场结果表明了该系统的有效性。

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