用分割得分图和聚类图检测车道线的后处理方法以及装置
用分割得分图和聚类图检测车道线的后处理方法以及装置
本发明提供一种用分割得分图和聚类图检测车道线的后处理方法以及装置，所述包括以下步骤：计算装置获取由卷积神经网络生成的所述分割得分图和所述聚类图；使后处理模块参考所述分割得分图来检测包含形成所述车道线的像素的车道线元素，参考所述车道线元素、所述分割得分图和所述聚类图来生成种子信息；使所述后处理模块参考所述种子信息生成基本模型，并参考该基本模型生成车道线锚点；使所述后处理模块参考所述车道线锚点生成车道线连通域(blob)；以及使所述后处理模块参考所述车道线连通域检测车道线候选组，通过对所述车道线候选组应用线性拟合运算来生成车道线模型，以检测所述车道线。
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.
Dokumentinformationen
用分割得分图和聚类图检测车道线的后处理方法以及装置
2023-12-15
Patent
Elektronische Ressource
Chinesisch
| IPC: | G06V / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |