Core Insights - The core viewpoint of the articles emphasizes the rapid development of Level 3 (L3) autonomous driving technology by Changan Automobile, which is set to begin large-scale pilot operations by the end of 2025 in Chongqing, showcasing the company's advancements in autonomous driving technology [1][2]. Group 1: Development and Implementation - Changan Automobile's L3 autonomous vehicles are transitioning from single technology breakthroughs to a collaborative research and development model that emphasizes compliance and industry linkage, which is crucial for the rapid advancement of high-level autonomous driving technology in China [2][3]. - The company has expanded its safety requirements beyond the product itself to include functional safety, network security, data security, and risk prevention throughout the entire process, leading to recognition from regulatory bodies and the acquisition of the first batch of licenses [2][3]. Group 2: Collaborative Research and Industry Linkage - The rapid development of Changan's L3 autonomous driving technology demonstrates the feasibility of a collaborative research and development model that not only aids in the design and compliance of high-level autonomous driving but also supports the cultivation of interdisciplinary technical talent within the industry [3][4]. - The collaborative approach involves engineers from various disciplines working together to solve unknown problems, thereby enhancing their knowledge and skills in a cross-disciplinary context, which is essential for the advancement of autonomous driving technology [3][4]. Group 3: Problem-Solving in R&D - The development of autonomous driving technology faces numerous unknown factors, necessitating bold innovation and collaborative efforts to address these challenges. For instance, Changan's team innovatively proposed using elastic wave sensors to identify micro-collision events, a solution that had not been attempted in the industry [4][5]. - The team designed over 100 diverse data collection scenarios to ensure accurate sensor data collection under various conditions, overcoming challenges such as data distortion and adaptability to different weather conditions [5][6]. Group 4: Execution and Collaboration - The successful implementation of the collaborative research and development model requires strong execution capabilities, which Changan has established through a joint development mechanism with core suppliers to ensure performance consistency and compliance [6][7]. - During testing, the team identified a critical delay in the vehicle's response to sudden braking by preceding vehicles, leading to a collaborative effort with radar suppliers to enhance the system's performance [6][7]. Group 5: Industry Ecosystem and Future Outlook - The key to the rapid realization of high-level autonomous driving technology lies in technological advancements and reduced hardware costs, necessitating a collaborative approach among industry policies, technologies, and ecosystems to create a safe and reliable environment for autonomous driving [8].
长安刘玉清:协同研发、产业联动是高级别自动驾驶技术快速发展关键