首页> 外国专利> Post processing method and apparatus for detecting lane for planning travel route of autonomous vehicle using segmentation score map and clustering map

Post processing method and apparatus for detecting lane for planning travel route of autonomous vehicle using segmentation score map and clustering map

机译:用于使用分割得分图和聚类映射检测自动车辆行程路线的道路的处理方法和装置

摘要

A post-processing method for detecting lanes to plan the drive path of an autonomous vehicle by using a segmentation score map and a clustering map is provided. The method includes steps of: a computing device acquiring the segmentation score map and the clustering map from a CNN; instructing a post-processing module to detect lane elements including pixels forming the lanes referring to the segmentation score map and generate seed information referring to the lane elements, the segmentation score map, and the clustering map; instructing the post-processing module to generate base models referring to the seed information and generate lane anchors referring to the base models; instructing the post-processing module to generate lane blobs referring to the lane anchors; and instructing the post-processing module to detect lane candidates referring to the lane blobs and generate a lane model by line-fitting operations on the lane candidates.
机译:提供了一种用于检测通道以通过使用分割得分图和聚类图来检测通道以规划自主车辆的驱动路径的后处理方法和群集地图。 该方法包括以下步骤:从CNN获取分割得分图和聚类映射的计算设备; 指示后处理模块检测包括形成泳道的像素的车道元件,参考分割得分图并生成参考车道元素的种子信息,分割得分图和聚类图; 指示后处理模块引用种子信息的基础模型,并引用基础模型生成车道锚; 指示后处理模块引用车道锚点生成车道斑点; 并指示后处理模块检测车道候选者参考车道膨胀,并通过在车道候选的线拟合操作产生车道模型。

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