This paper provides a comprehensive analysis of the major challenges faced by end-to-end(E2E)autonomous driving grand model in adhering to road traffic safety law and related standards.It highlights strategies to enhance the regulatory compliance performance of these models through standardized training approaches for traffic safety scenarios.Finally,it outlines future research directions,asserting that continuous optimization and standardization of compliance training and testing methodologies will enable E2E autonomous driving technology to better align with traffic safety regulations and standards,thereby facilitating its broader application in complex traffic environments.
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