为充分利用数据资源中心在自动驾驶虚拟仿真平台建设中的经验,迎合企业在智能网联汽车研发验证方面的场景需求,解决行业在本土化功能安全评价方面的痛点问题,数据资源中心对基于驾驶场景大数据的自动驾驶虚拟仿真平台建设研究进行了全面总结,从驾驶场景研究和分类、场景数据采集、场景数据处理和分析、场景数据库建设以及虚拟仿真平台搭建这五个层面进行深入分析和阐述,进而为行业提供切实可行的技术支持。
<<In order to fully utilize the experience of Automotive Data Center in the construction of automatic driving virtual simulation platform,Automotive Data Center comprehensively summarizes the research on the construction of the automatic driving virtual simulation platform based on driving scenarios data from the five aspects,including driving scenarios research and classification,scenarios data collection,scenarios data processing and analysis,scenarios database construction and virtual simulation platform construction,which provides practical technical support for the industry,satisfies the requirements of enterprises in the intelligent connected vehicle research and development,and solves the painful problem of the industry in the evaluation of localized functional safety.
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