The invention discloses a lane-level steering information detection method and system based on unsupervised learning. Comprising the following steps: a data preprocessing step: carrying out road network topology processing, track data cleaning and map matching to realize connection between track points and attribution road sections; and an intersection lane information identification step: carrying out clustering analysis on the matching tracks in a certain range of the adjacent end points of the road section intersection based on a Gaussian mixture model, and further carrying out road section intersection lane information detection. And a lane-level steering information mining step: considering different lane steering information, and designing different lane steering information identification rules based on an unsupervised classification method. According to the method, exploratory research is carried out on lane-level steering recognition in the unsupervised classification direction, and a certain technical foundation is laid for fine navigation.
本发明公开了一种基于非监督学习的车道级转向信息探测方法和系统。包括:数据预处理步骤,进行道路网拓扑处理,轨迹数据清洗及地图匹配,实现轨迹点与归属路段之间的连接;交叉口车道信息识别步骤,基于高斯混合模型对路段交叉口邻近端点一定范围内匹配轨迹进行聚类分析,进而进行路段交叉口车道信息探测。车道级转向信息挖掘步骤,顾及不同车道转向信息,基于非监督分类方法进行不同车道转向信息识别规则设计。本发明在非监督分类方向对车道级转向识别进行了探索性研究,为精细导航奠定了一定的技术基础。
Lane-level steering information detection method and system based on unsupervised learning
一种基于非监督学习的车道级转向信息探测方法和系统
2023-12-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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