3 6 Ke·2025-12-30 10:26Core Insights - The transition from L2 to L3 autonomous driving is not merely a technical upgrade but involves comprehensive challenges related to legal responsibilities, costs, and user trust [1][6][11] Group 1: Policy and Regulation - The Ministry of Industry and Information Technology (MIIT) has approved the first two L3 autonomous driving models in China: Changan Deep Blue SL03 and BAIC Blue Valley Arcfox Alpha S Pioneer Edition, set to be tested under specific conditions by the end of 2025 [2][3] - The L3 level allows for conditional automation where the driver can fully disengage from driving tasks, but responsibility for accidents may be shared between the system and the driver [2][3] - New regulations, such as the Beijing Autonomous Driving Vehicle Regulations, have established accident liability rules, requiring manufacturers to bear product liability and maintain insurance of at least 5 million yuan [3] Group 2: Technical Challenges - Transitioning from L2 to L3 involves a significant shift in responsibility, technology architecture, and business logic, necessitating redundant systems to ensure safety [6][7] - The cost of implementing redundancy in systems, such as steering, can increase significantly, with estimates suggesting costs could rise from 1,500-2,000 yuan to 4,000-6,000 yuan per unit [6][7] - The choice between in-house development and third-party suppliers complicates the responsibility chain in the event of an accident, requiring clearer regulations [7] Group 3: User Experience and Trust - Users have reported issues such as "phantom braking" and hesitation during lane changes, highlighting a gap between marketing promises and actual user experiences [5][8] - Many users express a lack of trust in autonomous systems, often feeling uncertain about when to intervene, which can lead to negative experiences and a reluctance to use the technology [8][11] - Education on the capabilities and limitations of autonomous driving systems is lacking, with few manufacturers incorporating training into the sales process [9][10] Group 4: Recommendations for Improvement - Companies must take responsibility for educating users about autonomous driving, while regulatory bodies should promote clear and understandable guidelines [11] - Enhancing human-vehicle interaction through transparent communication of system intentions can help build trust and improve user experiences [11] - The successful integration of L3 autonomous driving into everyday life requires a collective effort from the industry, regulators, and consumers to foster understanding and trust [11]