首页> 外国专利> Method and device for detecting lane elements to plan the drive path of autonomous vehicle by using a horizontal filter mask, wherein the lane elements are unit regions including pixels of lanes in an input image

Method and device for detecting lane elements to plan the drive path of autonomous vehicle by using a horizontal filter mask, wherein the lane elements are unit regions including pixels of lanes in an input image

机译:通过使用水平滤光片来检测车道元素以规划自动驾驶车辆的行驶路径的方法和装置,其中,所述车道元素是包括输入图像中的车道像素的单位区域

摘要

A method for detecting lane elements, which are unit regions including pixels of lanes in an input image, to plan the drive path of an autonomous vehicle by using a horizontal filter mask is provided. The method includes steps of: a computing device acquiring a segmentation score map from a CNN using the input image; instructing a post-processing module, capable of performing data processing at an output end of the CNN, to generate a magnitude map by using the segmentation score map and the horizontal filter mask; instructing the post-processing module to determine each of lane element candidates per each of rows of the segmentation score map by referring to values of the magnitude map; and instructing the post-processing module to apply estimation operations to each of the lane element candidates per each of the rows, to thereby detect each of the lane elements.
机译:提供一种用于检测车道元素的方法,该车道元素是包括输入图像中的车道像素的单位区域,以通过使用水平滤光器掩模来计划自动驾驶车辆的行驶路径。该方法包括以下步骤:计算设备使用输入图像从CNN获取分割得分图;以及指示能够在CNN的输出端执行数据处理的后处理模块通过使用分割得分图和水平滤波器掩码来生成幅值图;指示后处理模块通过参考幅值图的值来确定分割分数图的每一行的每个车道元素候选者;指示后处理模块对每行中的每个车道元素候选进行估计操作,从而检测每个车道元素。

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