The invention discloses an automatic driving test scene generation framework and generation method, and the method comprises the steps: a road network generator is used for obtaining a node file and an edge file generated by a multi-modal large language model based on prompt word engineering and scene description, inputting the node file and the edge file into a traffic simulation tool, and obtaining a road network file synthesized by the traffic simulation tool; the vehicle generator is used for acquiring a plurality of initial vehicle models generated by the multi-modal large language model based on prompt word engineering and scene description, inputting the initial vehicle models into a traffic simulation tool, and acquiring a vehicle model generated after the traffic simulation tool adds a path file for each initial vehicle model; and the scene generation module is used for integrating the road network file and the plurality of vehicle models, obtaining an automatic driving test scene, building a bridge for interactive use of the multi-modal large language model and a traffic simulation tool, and constructing a traffic simulation mechanism of the multi-modal large language model based on a prompt project. A customized, real, reliable and targeted automatic driving test scene can be generated.
一种自动驾驶测试场景生成框架和生成方法,包括:路网生成器用于获取多模态大语言模型基于提示词工程和场景描述生成的节点文件和边文件,并输入交通仿真工具,获取交通仿真工具合成的路网文件;车辆生成器用于获取所述多模态大语言模型基于提示词工程和场景描述生成的多个初始车辆模型,并输入交通仿真工具,获取交通仿真工具为每一个初始车辆模型增加路径文件之后生成的车辆模型;场景生成模块用于整合所述路网文件和多个所述车辆模型,获得自动驾驶测试场景,为多模态大语言模型和交通仿真工具的交互使用搭建了桥梁,构建了基于提示工程的多模态大语言模型的交通仿真机制,能够生成定制化的、真实可靠的、具有针对性的自动驾驶测试场景。
Automatic driving test scene generation framework and generation method
一种自动驾驶测试场景生成框架和生成方法
2025-03-11
Patent
Electronic Resource
Chinese
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