In recent years, China has witnessed rapid technological innovation in the field of intelligent driving, with related patents surpassing 50,000—an impressive figure placing the country among global leaders. This milestone reflects not only sustained investment by domestic enterprises in core technologies such as perception, decision-making, and control systems for autonomous driving, but also strong policy support from the government for the intelligent and connected vehicle (ICV) industry. Key technologies—including LiDAR, high-definition mapping, and vehicle-to-everything (V2X) systems—have seen extensive patent filings from a diverse range of stakeholders: automakers, component suppliers, and tech companies alike. Notable players like Baidu Apollo, Huawei, XPeng, and NIO have built robust intellectual property portfolios in this domain. Meanwhile, universities and research institutes have contributed significantly to foundational algorithms and sensor fusion techniques. While this surge in patent filings accelerates technological iteration and commercialization, it also fosters industry standardization and supply chain maturity. However, attention must be paid to patent quality and real-world application efficiency to avoid prioritizing quantity over substance. Looking ahead, with initiatives such as the ‘Pilot Program for ICV Market Access’ gaining momentum, China is well-positioned to play an increasingly pivotal role in the global intelligent driving landscape.
近年来，中国在智能驾驶领域的技术创新迅猛发展，相关专利数量已突破5万项，位居全球前列。这一数据不仅体现了国内企业在自动驾驶感知、决策、控制等核心技术上的持续投入，也反映出国家政策对智能网联汽车产业的大力支持。从激光雷达、高精地图到车路协同系统，各类关键技术均有大量专利布局，涵盖整车制造、零部件供应商以及科技公司等多个主体。例如，百度Apollo、华为、小鹏汽车、蔚来等企业均在智能驾驶领域构建了强大的知识产权壁垒。此外，高校和科研机构也在基础算法、传感器融合等方面贡献了大量原创成果。专利数量的快速增长，一方面加速了技术迭代与商业化落地，另一方面也推动了行业标准的建立与产业链的完善。然而，专利数量虽多，仍需关注质量与实际应用转化效率，避免‘重数量、轻质量’的问题。未来，随着《智能网联汽车准入试点》等政策的推进，中国有望在全球智能驾驶竞争中占据更加重要的地位。
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