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以五维安全体系构筑基石,中汽中心、清华、华为联合发布智驾技术白皮书
财联社·2025-07-09 12:48

Core Viewpoint - The article emphasizes the importance of a cautious and rational approach to defining and understanding the development of intelligent driving technology and its commercialization, as outlined in the "Intelligent Driving Technology White Paper" released by the China Automotive Technology and Research Center, Tsinghua University, and Huawei [1][2]. Summary by Sections Intelligent Driving Development - Intelligent driving has evolved through various stages, including the emergence, accumulation, breakthrough, and commercialization phases, significantly changing people's understanding of mobility and enhancing driving safety [2]. - In the first quarter of this year, the insurance premium for new energy commercial vehicles exceeded 31.4 billion yuan, reflecting a 44% year-on-year increase, indicating a trend of risk improvement due to technological advancements [2]. Market Dynamics - The intelligent driving sector has seen over a 60% increase in stock prices over the past year, making it one of the hottest sectors in the market [3]. - The "Intelligent Driving Technology White Paper" highlights the mismatch between technological development and user perception, leading to issues such as excessive marketing and unclear definitions of intelligent driving features [4]. Standards and Definitions - The GB/T 40429—2021 standard classifies driving automation into six levels (0-5), with level 0 being emergency assistance and level 5 being fully autonomous driving [6]. - The paper clarifies various terms related to intelligent driving, such as auxiliary driving, automated driving, and unmanned driving, to provide a clearer understanding of the technology [7][8]. Safety and Technology Integration - The article discusses the shift from passive to active safety measures in vehicles, emphasizing the need for a comprehensive safety framework that includes features like automatic emergency steering and braking [11]. - Huawei's enhanced automatic emergency steering (eAES) technology is designed to automatically adjust steering in emergencies, improving vehicle stability and reducing collision damage [9]. Industry Trends and Challenges - The "Intelligent Driving Technology White Paper" aims to provide a comprehensive analysis of the intelligent driving industry's development trends, focusing on common misconceptions and the need for a robust safety system [12]. - The article notes that many automotive companies are struggling with high costs and low consumer adoption of self-developed intelligent solutions, while Huawei's approach has led to a more sustainable and effective model [13][14]. Future Directions - The article suggests that the automotive industry should focus on building a collaborative innovation ecosystem, enhancing core technology development, and improving consumer education and rights protection [15].