Core Viewpoint - The rapid development of intelligent driving technology has exposed various issues related to standards, safety, and marketing, prompting the China Automotive Engineering Research Institute (China Automotive Research) to launch five industry initiatives aimed at enhancing the safety of L2-level intelligent driving assistance systems [1][6]. Group 1: Industry Challenges - The penetration rate of L2-level passenger vehicles in China is projected to increase from 23.5% in 2021 to 55.7% in 2024, with an expected 65% in the current year [4]. - Analysis of 49 L2-level intelligent driving accidents revealed that 55% occurred on highways, 53% involved vehicle-to-vehicle collisions, and 76% happened under normal road conditions [4]. - Key causes of accidents include limitations in system functionality to handle complex road conditions and misuse or over-reliance on the system by drivers [4]. Group 2: Industry Initiatives - The five industry initiatives include establishing unified minimum safety requirements for L2 intelligent driving systems, enhancing driver monitoring and intervention mechanisms, creating transparent evaluation standards, regulating market promotion and user training, and promoting data sharing and iterative mechanisms [6][7]. - The initiatives align with the recent guidelines from the Ministry of Industry and Information Technology and the State Administration for Market Regulation, which emphasize the need for accurate marketing of intelligent driving systems [7]. Group 3: Testing and Evaluation - China Automotive Research has developed the "Extreme Intelligent Long Test" system, which includes a standardized evaluation framework for high-level intelligent driving assistance, with a testing route covering various complex terrains and traffic conditions across China [9]. - The first test of the "Extreme Intelligent Long Test" was conducted on April 12-13, 2023, in Hainan, evaluating over 20 mass-produced intelligent vehicle models across more than 20 different driving scenarios [9]. - The goal is to transition intelligent driving from experimental parameters to user value through rigorous testing in real-world conditions [9].