The report focuses on AI safety and R&D toolchains for intelligent vehicles. Drawing on the team’s extensive research in the system safety of connected and autonomous vehicles (CAVs) and autonomous driving control, it analyzes failure risks in AI perception and decision-making algorithms, as well as functional safety and data security challenges. It further elaborates on a comprehensive safety protection framework tailored for full-scenario autonomous driving. Addressing key industry pain points, the report introduces an end-to-end R&D toolchain for intelligent driving, covering simulation testing and electronic control development platforms, while demonstrating their practical applications in algorithm verification and safety assessment. Finally, by integrating theoretical insights with engineering practice, it explores iterative pathways for advancing AI safety technologies and outlines future directions for domestically developed tools, offering actionable strategies to drive technological upgrades and real-world deployment across the industry.