The white paper was guided by the Guanghua School of Management of Peking University and the China Association of Automobile Manufacturers, and jointly compiled by the students of the Automotive Strategist Class of the Guanghua School of Management of Peking University and the National Key Laboratory of FAW High-end Vehicle Integration and Control. Fu Bingfeng, Executive Vice President and Secretary-General of China Association of Automobile Manufacturers, and Wang Tiemin, Associate Professor of the Department of Organization and Strategic Management, Guanghua School of Management, Peking University, served as academic advisors. The main members of the compilation team include Wang Deping, Secretary of the Party Committee and President of FAW R&D Institute, Director of FAW Science and Technology Innovation Management Department, and Director of FAW Technology Center, Li Dan, Deputy Director of FAW R&D Institute (Science and Technology Innovation Management Department) and Director of the National Key Laboratory of High-end Vehicle Integration and Control, Pan Xiaohong, Deputy Secretary of the Party Committee and General Manager of Shanghai International Automobile City (Group) Co., Ltd. and Chairman of Shanghai Intelligent Vehicle Software Park, and Long Quan, Chairman and CEO of Ping An Property & Casualty and Chairman of Autohome. Li Xingyu, Co-founder and Chief Ecological Officer of Suiyuan Technology, Wang Youdong, Deputy Secretary of the Party Committee and Senior Vice President of Autohome, Yang Laitu, CEO of Nanjing Siwei Zhilian Technology Co., Ltd., Zhang Fan, Chief Ecological Officer of China Auto Parts Industry Co., Ltd., Wang Yao, Deputy Chief Engineer of China Association of Automobile Manufacturers, and many other industry leaders, aiming to deeply discuss the application status and future development trend of artificial intelligence generated content (AIGC) technology in the automotive industry, is the first white paper on the application of AIGC technology in the automotive industry.
Cover image of the white paper on the application of AIGC technology in the automotive industry
The white paper not only deeply discusses the huge potential of AIGC technology in the field of automotive applications, but also deeply analyzes the application of AIGC technology in the whole life cycle of the automotive industry based on actual cases, from R&D, design to manufacturing, marketing, and further extends to the reshaping of service experience, marking the leap of the automotive industry from the era of artificial intelligence 1.0 to the era of 2.0.
From SDV to DDV, AIGC technology leads the intelligent transformation of the automotive industry
At the theme forum of "AI Steering Steer, Controlling the Future", Li Dan, Deputy Minister of China FAW R&D Institute (Science and Technology Innovation Management Department) and Director of the National Key Laboratory of High-end Vehicle Integration and Control, gave a detailed interpretation of the white paper. Li Dan pointed out that since the end of 2022, marked by the release of ChatGPT 3.5 and Tesla's FSD V12, the automotive industry is experiencing a transformation from software-defined vehicles (SDV) to data-defined vehicles (DDV). This transformation is driven by massive amounts of data and achieves impressive performance gains through high-frequency iteration models. Different from the traditional development model based on logical code, AIGC technology has opened a new data-driven development model of end-to-end autonomous driving large model and intelligent cockpit interaction model, and the key resources for performance improvement have been transformed from R&D manpower to data and computing power. This transformation not only improves the performance and intelligence of automobiles, but also brings new competitive forces to the automotive industry.
Improve the efficiency and innovation of automotive design
In the field of automotive design, the application of AIGC technology is realizing the automation and intelligence of the design process through digital twins and process digital intelligence. Digital twin technology provides comprehensive data support for automotive design, enabling the design process to be monitored, predicted, and optimized in real time. Process digital intelligence manages business processes in real time and online through digital means, improves the efficiency of collaborative development, and ensures that problems in the development process can be found and solved in a timely manner. The application of these technologies not only improves the efficiency of development, but also improves the quality of the final product.
Automotive design AIGC system composition
Drive the intelligent upgrade of automobile manufacturing
In the field of manufacturing, the application of AIGC technology is reflected in intelligent process design and production decision-making systems. Intelligent process design uses AI algorithms to quickly analyze a large amount of historical data to design the optimal process plan and achieve real-time dynamic optimization. The production decision-making system collects and analyzes massive production data to accurately predict potential problems and propose preventive measures. These applications not only improve production efficiency, but also reduce costs, improve the overall performance of products, and promote the transformation of the automobile manufacturing industry to intelligent manufacturing and service-oriented manufacturing.
Produce a large model of intelligent decision-making
Comprehensively upgrade the user's driving experience
In the field of autonomous driving, AIGC simplifies the algorithm architecture through the end-to-end large model, reduces the complexity of the rule algorithm, and shifts the key to performance improvement from human resources to data and computing power. Tesla's FSD Beta V12 is a case in point, with significantly reduced code and significantly improved performance. In addition, the application of AIGC technology in the intelligent cockpit makes human-computer interaction more natural and intuitive, and provides users with more personalized services and suggestions through voice recognition, facial recognition, gesture and emotion recognition and other functions. These changes not only improve driving safety and efficiency, but also greatly enrich the in-car experience for passengers. The application of AIGC technology indicates that the car will no longer be a simple means of transportation, but a highly intelligent and personalized mobile space.
Intelligent voice assistant - AIGC car manual illustration
Revolutionize automotive marketing strategies and user experience
In the field of marketing, the application of AIGC technology has improved marketing efficiency and customer experience through intelligent tools and data analysis. AIGC technology can quickly generate marketing content that engages consumers, improving brand recognition and consumer engagement. At the same time, by analyzing consumers' purchasing behaviors and preferences, AIGC technology provides consumers with more differentiated product recommendations and services, formulates more precise marketing strategies, and guides the definition and design of new models. These apps not only optimize marketing strategies, but also provide consumers with a more personalized car buying experience.
Taking CarPlan, a one-stop car purchase AI product with Autohome's large-scale model multi-round dialogue, as an example, it uses the generation ability of artificial intelligence + the professional accumulation of automotive experts to realize the industry's first AI interactive product of seeing, selecting and buying cars. It not only improves the user experience, but also empowers dealer customers in multi-service scenarios, and realizes a more effective allocation of human resources.
One-stop car purchase AI interactive product model
Epilogue:
It is worth mentioning that the Future Automotive Industry Strategist Course, initiated by the Guanghua School of Management of Peking University and guided by the China Association of Automobile Manufacturers as a think tank, aims to cultivate talents and jointly help the high-quality development of the industry, and at the same time build a platform for industry exchanges, mutual learning and common progress, so as to help industry pioneers better shoulder the historical mission of strengthening enterprises and strengthening the country, and jointly cultivate the broad future of China's automobile industry.
The Future Automotive Industry Strategist Class (referred to as the Automotive Strategist Class) brings together the elite forces of more than half of the top car companies and key supply chain enterprises in the domestic auto industry, and the students present the crystallization of this collective wisdom - the White Paper on the Application of AIGC Technology in the Automotive Industry to the public with the profound perspective of strategists and the keen insight of forward-looking, after more than a year of in-depth discussion and wisdom collision.
The content of the white paper includes the concept of automotive AIGC to the in-depth analysis of key technologies, from the wonderful display of existing applications to the accurate prediction of future trends, which not only embodies the deep understanding and practical exploration of automotive AIGC technology, but also brings together a series of vivid cognitive cases and cutting-edge applications, outlining a grand blueprint of automotive AIGC technology for the industry. This white paper aims to stimulate the cognitive upgrading of the industry, promote the wide application of AIGC technology in the automotive industry, and contribute to the intelligent transformation of the automotive industry. Its main conclusions include:
The core conclusion of the white paper on the application of AIGC technology in the automotive industry
At present, the global automotive industry is entering an unprecedented "Chinese era", and at the same time, AIGC technology is sweeping all walks of life at an unprecedented speed, and its transformative power is shocking, indicating that the dawn of a new era of automotive intelligence has appeared. As a potential cornerstone of the intelligence of the automotive industry, AIGC technology not only carries huge industry potential, but also deserves every practitioner's high attention and enthusiasm to embrace. It is believed that by participating in the compilation of the white paper, these leaders of the automotive industry will jointly promote the innovation and development of automotive AIGC technology and contribute to the intelligent development of the industry.
