让数据、AI技术更好推动智能网联汽车发展

Core Insights - The forum on "AI Innovation Engine, Driving New Ecology of Smart Mobility" highlighted the impact of data innovation and AI technologies on the new mobility landscape [1] Group 1: Data and Technology Trends - In the current technological environment, superior data quality leads to better performance and product enhancement [3] - By 2024, the penetration rate of new energy vehicles in China is expected to exceed 40.9%, with approximately 20 million smart connected vehicles delivered, generating an average daily data volume of 30GB per vehicle [3] - The challenge remains in unlocking the value of data due to issues like data silos and fragmentation, despite the rich data resources and vast market space in China [3] Group 2: Industry Challenges and Collaboration - The development of software-defined vehicles faces significant challenges due to severe hardware interface customization, impacting safety compliance and development cycles [4] - Achieving unified standards and open collaboration is essential for overcoming obstacles in the digital transformation of the automotive industry [4] - The core difficulty in end-to-end models lies not in the technology itself but in its engineering, focusing on cost-effective and safe system deployment [4] Group 3: Ecosystem Development and Innovation - The Shanghai International Automotive City is exploring applications in smart new energy data, addressing data silos through infrastructure development and ecosystem support [5] - Achieving the ultimate goal of "full-scenario smart mobility" requires collaboration among universities, research institutions, automotive companies, and government organizations to tackle key challenges [5] - The automotive competition is shifting towards intelligence, emphasizing user experience and the need for data to play a central role in creating a new industrial ecosystem [6] Group 4: Emergency Response and Standards - The advancement of 4G and 5G technologies enhances data transmission speed and richness, crucial for emergency call systems in connected vehicles [7] - Successful implementation of next-generation emergency call technology requires standardization and regulatory testing to ensure effectiveness [7]