The invention provides an automatic driving method based on similar scene mining and a vehicle, and relates to the technical field of data processing, in particular to the technical field of automatic driving. According to the implementation scheme, current driving scene data of a vehicle are obtained, wherein the current driving scene data comprise information of the environment where the vehicle is located; at least one piece of similar driving scene data corresponding to the current driving scene data is obtained from a data set, the data set comprises multiple pieces of driving scene data corresponding to multiple vehicles, and each piece of driving scene data in the multiple pieces of driving scene data indicates environment information when the corresponding vehicle runs on the corresponding driving track; the similarity between each piece of similar driving scene data in the at least one piece of similar driving scene data and the current driving scene data is greater than a preset value; and obtaining a recommended trajectory based on the plurality of driving trajectories corresponding to the plurality of similar driving scenes, and recommending the recommended trajectory to the vehicle.
本公开提供了一种基于相似场景挖掘的自动驾驶方法和车辆,涉及数据处理技术领域,尤其涉及自动驾驶技术领域。实现方案为:获得本车的当前驾驶场景数据,当前驾驶场景数据包括本车所处的环境信息;从数据集中获得当前驾驶场景数据对应的至少一个相似驾驶场景数据,数据集包括多个车辆分别对应的多个驾驶场景数据,多个驾驶场景数据中的每一个驾驶场景数据指示相应车辆在相应驾驶轨迹上行驶时的环境信息,至少一个相似驾驶场景数据中的每一个相似驾驶场景数据与当前驾驶场景数据之间的相似度大于预设值;以及基于多个相似驾驶场景对应的多个驾驶轨迹,获得推荐轨迹,以推荐给本车。
Automatic driving method based on similar scene mining and vehicle
基于相似场景挖掘的自动驾驶方法和车辆
2023-02-03
Patent
Electronic Resource
Chinese
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