专家：汽车智能化需筑牢安全底线

Group 1: Industry Transformation - The global automotive industry is undergoing profound changes driven by the "new four modernizations," with a focus on the transition from electrification to intelligence and from local market dominance to global value chain restructuring [1] - The period from now until 2030 is critical for cultivating intelligent driving culture and popularizing lower-level intelligent driving technologies, necessitating clear development goals and strategies from major companies [1][2] Group 2: Safety and Technology Challenges - The penetration rate of L2-level intelligent vehicles in China has surpassed 50%, leading the world, but recent serious traffic accidents related to intelligent driving have raised safety concerns [2][3] - Current intelligent vehicle safety technologies are evolving along two main paths: "rule-driven" and "data-driven," each with its own advantages and limitations [3][4] Group 3: Cognitive-Driven Approach - A "cognitive-driven" approach is proposed to combine the advantages of both "rule-driven" and "data-driven" systems, enhancing adaptability and transparency in decision-making processes [4][5] - The stability of automotive safety heavily relies on the performance of automotive-grade chips, which must meet stringent reliability standards [5][6] Group 4: Competitive Landscape - The cost structure of vehicles is shifting, with electronic hardware and AI becoming increasingly significant, projected to rise from less than 25% to 70% by 2030 [7][8] - Companies are encouraged to break traditional industry boundaries and collaborate with technology firms to enhance their competitive edge in the intelligent and AI-driven automotive landscape [8][9]