The invention discloses an automatic driving scene evolution knowledge graph construction method and a risk prediction evaluation method, and belongs to the technical field of automatic driving. The automatic driving scene evolution knowledge graph construction method comprises the steps of generating a traffic element entity relation graph of each frame according to driving data of an unmanned vehicle; generating a scene node corresponding to each frame based on the traffic element entity relation graph; after scene nodes are screened based on the traffic element entity relation graph, the edge probability of the scene nodes is calculated according to the example traffic element entity relation graph, so that a scene evolution knowledge graph is generated; wherein the example traffic element entity relation graph is a traffic element entity relation graph of the screened scene nodes. According to the invention, the probability that the current scene will be converted into each scene due to the behavior can be predicted and the risk assessment under the target scene can be predicted through the behavior decision guidance opinions provided by the scene evolution knowledge graph.
本发明公开一种自动驾驶场景演化知识图谱构建方法及风险预测评估方法,属于自动驾驶技术领域。所述自动驾驶场景演化知识图谱构建方法包括:根据无人车的行驶数据,生成各帧的交通要素实体关系图;基于所述交通要素实体关系图生成各帧对应的场景节点;基于交通要素实体关系图对场景节点进行筛选之后,根据示例交通要素实体关系图计算场景节点的出边概率,以生成场景演化知识图谱;其中,所述示例交通要素实体关系图为筛选后场景节点的交通要素实体关系图。本发明通过场景演化知识图谱提供的行为决策指导意见,可以预测行为导致当前场景将转换到各个场景的概率以及预测目标场景下的风险评估。
Automatic driving scene evolution knowledge graph construction method and risk prediction evaluation method
自动驾驶场景演化知识图谱构建方法及风险预测评估方法
2025-03-28
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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