The invention discloses a scene self-deduction engine design method for an automatic driving test. The scene self-deduction engine design method comprises the following steps: S1, acquiring traffic environment information and traffic participant information through an information acquisition module; s2, constructing a static environment self-deduction function and a general scene self-deduction function through a self-deduction generation module; s3, the current state information of the autonomous vehicle in the scene and the vehicle information interacting with the autonomous vehicle are received through the autonomous vehicle module, and the next state information of the autonomous vehicle is calculated through an autonomous driving algorithm model and output to the information acquisition module; and S4, the current state information of the human driving vehicle in the scene and the vehicle information interacting with the human driving vehicle are received through the human driving vehicle module, and the next state information of the human driving vehicle is calculated through the human driving algorithm model and is output to the information acquisition module. According to the invention, the interactive game among the traffic participants is reproduced, and the traffic scene is truly restored, so that the scene-based automatic driving test is real and reliable.
本发明公开了一种面向自动驾驶测试的场景自演绎引擎设计方法,包括:S1、通过信息获取模块获取交通环境信息与交通参与者信息;S2、通过自演绎生成模块构建静态环境自演绎函数与通用场景自演绎函数;S3、通过自动驾驶车模块接收场景内自动驾驶车辆当前状态信息和与之存在交互的车辆信息,并通过自动驾驶算法模型,计算得到自动驾驶车辆的下一步状态信息,并输出给信息获取模块;S4、通过人类驾驶车模块接收场景内人类驾驶车辆当前状态信息与之存在交互的车辆信息,并通过人类驾驶算法模型,计算得到人类驾驶车辆的下一步状态信息,并输出给信息获取模块。根据本发明,复现交通参与者间的交互博弈,真实的还原了交通场景,使得基于场景的自动驾驶测试真实可靠。
Scene self-deduction engine design method for automatic driving test
一种面向自动驾驶测试的场景自演绎引擎设计方法
20.10.2023
Patent
Elektronische Ressource
Chinesisch
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