中证报中证网讯（龚梦泽 熊永红）12月1日，第七届全球智能驾驶大会在苏州相城区举办，大会以"智 联世界 驾驭未来"为主题，助力构建智能驾驶全球化发展新格局。 在此背景下，大会围绕"探索汽车智能化产品出海路径"和"构建汽车数字化与服务化出海生态"两大主题 展开专题交流，来自中国机电产品进出口商会、中国汽研（601965）、岚图汽车、轻舟智航、曹操出 行、奥托立夫等机构与企业的多位行业知名人士积极参与讨论。 此外，现场还对《江苏省无人驾驶装备商业示范应用工作指引（试行）》进行了解读。此次《工作指 引》的出台，为无人驾驶技术走向市场化、规模化应用提供了重要指导。 当前，自动驾驶领域正围绕端到端、VLA与世界模型等主流技术路线展开探索。其中，世界模型通过 对物理环境的高维认知建模，让智能体首次具备"理解世界、预测未来、自主决策"的能力，依托苏州丰 厚的车路云数据资源顶尖院所携手行业领袖，将全面启动世界模型联合研发，旨在攻克下一代智能驾驶 核心技术，驱动产业范式变革。 近年来，苏州奋力打造全球领先的"智驾之城"，已集聚相关企业超800家，苏州智能车联网产业规模达 1100亿元，成功获批国家5G车联网验证与应用项目国家首 ...

Core Insights - The company, Siwei Tuxin, is making a significant investment of 1.8 billion yuan to become the largest shareholder of Jianzhih Robot, aiming to establish a new platform for advanced driver assistance systems (ADAS) [1] - The integration of the two companies is expected to enhance the AI capabilities of Siwei Tuxin, allowing for improved quality in high-level ADAS and AI-enabled products [1][2] - The CEO of Siwei Tuxin anticipates securing over one million high-level ADAS orders in the future, building on their existing 5 million mid-level orders [2] Investment and Strategic Moves - Siwei Tuxin plans to invest 2.5 billion yuan in cash and inject 15.5 billion yuan in assets to acquire a controlling stake in Jianzhih Robot, marking a significant move in the A-share market for smart driving mergers [1] - The combined R&D team will consist of around 700-800 personnel, focusing on developing low, mid, and high-level ADAS products [1][2] Market Position and Future Outlook - The company has already captured a substantial market share in low and mid-level ADAS and aims to expand into high-level systems post-acquisition [1] - The CEO expressed confidence in achieving high-level orders within 1.5 to 2 years, leveraging the combined strengths of both companies [2] Technological Innovations - The future of L3-level ADAS is constrained by regulatory and safety concerns, but advancements are expected to lead to vehicles without steering wheels or brakes in the next 3-5 years [3] - The concept of "VLA (Visual Language Action)" is introduced, indicating a shift towards real-time decision-making in driving without relying solely on high-definition maps [4] Challenges and Adaptations - The demand for high-definition maps is evolving, with a need for real-time updates to accommodate urban changes, which necessitates vehicle-to-infrastructure collaboration [5] - The company is exploring various monetization strategies for high-definition maps, including vehicle-based data collection to enhance map accuracy [4][5]