The invention provides a vehicle-road cooperative abnormal driving condition detection method and system, terminal equipment and a medium. The method comprises the steps of determining a normal driving trajectory mode class number of a detection road section; determining an initial value of a center line of each trajectory mode based on a scene activity diagram; obtaining a newly added trajectoryset; determining upper and lower approximate set affiliation of the newly added trajectory; based on a rough K-means clustering method, performing incremental learning on the trajectory modes by usingthe newly added trajectory set until the center line of each trajectory mode has no obvious change; carrying out anomaly confirmation and classification on each suspected abnormal trajectory stored in the rough set boundary region of each trajectory mode class by adopting a KNN classifier; and triggering an alarm and outputting the type of the event and the information of the vehicle running abnormally after the abnormal running trajectory is confirmed. According to the method, the adverse effect of the suspected abnormal trajectory on the normal trajectory mode extraction precision is effectively eliminated, and the event detection and classification performance is effectively enhanced.
本发明提供一种车路协同异常行驶状况检测方法、系统、终端设备及介质,方法包括以下步骤:确定检测路段的正常行驶轨迹模式类数;基于场景活动图确定各轨迹模式中心线的初始值;获取新增轨迹集;确定新增轨迹的上、下近似集归属;基于粗糙K均值聚类法,用新增轨迹集对轨迹模式进行增量学习直至各轨迹模式中心线无明显变化;对各轨迹模式类的粗糙集边界区域中保存的各条疑似异常轨迹采用KNN分类器进行异常确认和分类;确认到异常行驶轨迹后触发报警并输出事件的类型及异常行驶的车辆信息;本申请既有效消除了疑似异常轨迹对正常轨迹模式提取精度的不利影响,又有效增强了事件检测和分类性能。
Vehicle-road cooperative abnormal driving condition detection method and system, terminal equipment and medium
车路协同异常行驶状况检测方法、系统、终端设备及介质
11.08.2020
Patent
Elektronische Ressource
Chinesisch
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