The invention provides a driving knowledge graph construction method, an automatic driving method and a driving method, relates to the technical field of artificial intelligence such as knowledge graphs and automatic driving, and can be applied to intelligent traffic and smart city scenes. The method comprises the following steps: acquiring driving parameter entities including a road network entity, an environment entity and a vehicle entity; acquiring historical driving tracks of different vehicles in different driving environments under each road section; obtaining a high-credibility driving track based on a driving task issued for a preset high-credibility object under the same road section; correcting the historical driving track based on the high-credibility driving track of the same road section to obtain a corrected driving track; and based on the position association point between the driving parameter entity and the corrected driving track, establishing an association relationship between the driving parameter entity and the driving behavior entity, and obtaining a driving knowledge graph. By applying the driving knowledge graph provided by the embodiment, better automatic driving service or driving suggestions can be provided.
本公开提供了一种驾驶知识图谱构建方法、自动驾驶方法及驾驶方法,涉及知识图谱、自动驾驶等人工智能技术领域,可应用于智能交通和智慧城市场景。该方法:获取包括路网实体、环境实体和车辆实体在内的驾驶参数实体;获取各路段下不同车辆在不同驾驶环境下的历史驾驶轨迹;基于为预设的高可信对象下发的在相同路段下的行驶任务,得到高可信驾驶轨迹;基于相同路段的高可信驾驶轨迹对历史驾驶轨迹进行修正,得到修正后驾驶轨迹;基于驾驶参数实体与修正后驾驶轨迹之间的位置关联点,建立驾驶参数实体与驾驶行为实体之间的关联关系,得到驾驶知识图谱。应用该实施方式提供的驾驶知识图谱可提供更好的自动驾驶服务或驾驶建议。
Driving knowledge graph construction method, automatic driving method and driving method
驾驶知识图谱构建方法、自动驾驶方法及驾驶方法
2023-03-28
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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