基于场景的智能网联汽车模拟仿真测试评估方法与实践

搭载自动驾驶功能的智能网联汽车因可在其设计运行条件内承担全部动态驾驶任务，面临安全验证与评估挑战。基于场景的智能网联汽车安全测试评估方法已成为广泛的行业共识，模拟仿真测试是其重要手段之一。从第三方视角，针对自动驾驶安全性、高场景覆盖度、逻辑完备性等测试验证目标，搭建基于软件在环的模拟仿真测试环境框架，在此基础上研究基于设计运行条件覆盖的测试场景集构建方法，探索形成一套高可信智能网联汽车模拟仿真测试评估方法，并在特定应用场景进行初步实践。研究成果为模拟仿真测试在智能网联汽车安全测试与评估中的落地应用提供了参考。

Scenario-Based Virtual Testing and Assessment Method and Practice for Intelligent and Connected Vehicles

The intelligent and connected vehicles (ICVs) with autonomous driving undertake all the dynamic driving tasks under operational design conditions (ODC), thus facing challenges of safety validation and assessment. The scenario-based ICVs safety testing and assessment method has been broadly accepted by the industry, and virtual testing is one of its important means. Therefore this paper builds a simulation testing environment framework based on software-in-the-loop for test validation goals such as autonomous driving safety, high scenario coverage and logic completeness. On this basis, the method for generating test scenariosets based on ODC coverage is studied, and a highly trusted ICVs virtual testing and assessment method is formed. The preliminary practice is carried out in specific application scenarios. The research results provide a reference for the application of virtual testing in ICVs safety validation and assessment.