Abstract: The present invention relates to a method for building a virtual scenario library for autonomous vehicles, including steps such as acquiring data, extracting data, cleaning data, annotating scenario elements, forming a data set, determining an optimal k value, determining initial clustering centers, obtaining logical scenarios, and building a virtual scenario library. The present invention provides a theoretical basis and technical support for the building of a virtual scenario library for autonomous driving. The method is easy to operate, and can provide a large number of test target scenario environments meeting different requirements, to test the safety of an autonomous driving system in virtual scenarios. Compared with vehicle test in real environments, this method is more cost-effective, efficient, and repeatable, and can simulate a variety of different scenarios, to speed up the research and development of autonomous vehicles and promote the safe deployment of autonomous vehicles.