自动驾驶危险工况及事故场景库

自动驾驶危险工况及事故场景库，是北京车网在深入调研梳理自动驾驶行业在模拟仿真测试工作过程中面临的具体问题而针对性开发的数据产品。旨在有效响应自动驾驶解决方案提供商、整车企业和第三方模拟仿真测试企业等对于提升模拟仿真场景可信度、聚焦自动驾驶车辆真实运行状况、丰富危险工况和事故场景等高价值场景数据、提升仿真场景兼容性等现实需求。自动驾驶危险工况及事故场景库是基于异常驾驶行为数据，通过自动驾驶场景运行风险评估，对数据进行进一步的挖掘和分析，生成高风险的危险工况和自动驾驶事故场景，并结合真实的车路协同感知数据，通过场景还原加工而成的Open X格式仿真场景，可以直接用于自动驾驶模拟仿真测试，为自动驾驶技术的发展提供更加丰富的数据支持和参考。

The Database of Hazardous Driving Operating Conditions and Accident Scenarios for Autonomous Driving is a data product developed by Beijing Chewang through in-depth investigation and sorting of the specific challenges faced by the autonomous driving industry in the simulation and testing workflows. It is designed to effectively meet the practical needs of autonomous driving solution providers, original equipment manufacturers (OEMs), and third-party simulation and testing enterprises, including improving the credibility of simulation scenarios, focusing on the real operational conditions of autonomous vehicles, enriching high-value scenario data such as hazardous driving operating conditions and accident scenarios, and enhancing the compatibility of simulation scenarios. This database is constructed based on abnormal driving behavior data. After conducting risk assessment of autonomous driving scenarios, further mining and analysis are performed on the data to generate high-risk hazardous driving operating conditions and autonomous driving accident scenarios. Combined with real vehicle-road collaborative perception data, these scenarios are processed through scenario restoration and formatted into Open X format simulation scenarios, which can be directly applied to autonomous driving simulation and testing, providing richer data support and reference for the development of autonomous driving technology.