Group 1 - The theme of the 2025 Beike Finance Annual Conference is "The Co-Growth of Openness and Resilience in the Chinese Economy" [1] - Zheng Xinfeng, Vice President of Beijing Automotive Research Institute, emphasized that the integration of AI large models with the automotive industry will introduce more cross-industry suppliers, enhancing collaboration between manufacturers and suppliers [1][5] - The development of technology is driven by demand, and understanding user needs can significantly aid in the technological advancement of intelligent connected vehicles [1][5] Group 2 - Intelligent driving assistance systems are not equivalent to highly automated driving, and human factors remain crucial for safety [4] - Zheng Xinfeng highlighted that each manufacturer defines a series of operational limits for their driving assistance systems, known as ODD (Operational Design Domain), which users must understand [4] - Beijing Automotive has adopted platform-based, modular, and universal technical solutions for its driving assistance systems, and is involved in various levels of automated driving projects [4][5] Group 3 - The rapid development of AI technology has made large models a significant driver of industrial transformation, impacting vehicle research, production, and user experience [5] - The integration of large models into automotive software development has significantly increased efficiency, allowing for automated code generation and testing [5][6] - The introduction of large models will diversify the collaboration models between manufacturers and suppliers, as valuable data generated during vehicle operation can enhance the entire industry chain [5][6] Group 4 - The intelligent connected ecosystem can both challenge and empower traditional fuel vehicles, enhancing their intelligence and extending their lifecycle [6] - Fuel vehicles can be integrated into the intelligent connected ecosystem, providing added value and smart features to users [6]
北汽研究总院郑新芬：AI大模型推动车企与供应商合作多元化