每经记者｜孙桐桐 每经编辑｜余婷婷 随着L2+级智能驾驶在市场渗透率上逼近规模化应用的"引爆点"，行业正将目光投向更高级别的自动驾驶落地路径。 日前，在华汽研究院举办的智驾科普沙龙上，多位行业专家普遍认为，当前智驾技术已进入从"人机共驾"向有条件自动驾驶迭代的关键阶段，预计明年有望 实现L3和L4级功能的初步落地。 图片来源：企业供图 "从智能辅助驾驶到自动驾驶，强人工智能是关键支撑。今年自动驾驶演进迅速，正是得益于人工智能技术发展，可以说，智能汽车是人工智能最靠谱的应 用场景。"日前，同济大学教授朱西产向《每日经济新闻》记者表示。 然而，在技术高歌猛进的同时，安全规范、用户教育与标准缺位等问题也日益凸显，成为制约智驾真正走向普惠与可持续发展的核心挑战。 安全与责任维度是关键 目前，汽车行业自动化分级为L1、L2、L3、L4、L5，其中L3争议最大，且从L2衍生出L2+。朱西产认为，要正确认识自动驾驶，需先理清相关概念。传统 入门级L2是从L0、L1逐级叠加ADAS功能发展而来，而如今备受关注的智能驾驶核心是NOA（Navigate on Autopilot，领航辅助驾驶，部分企业称NCA、 NGP等），虽然 ...

Core Insights - The Chinese automotive industry is undergoing a significant transformation towards intelligence, with smart driving becoming the main engine for industry upgrades, shifting focus from mere existence to performance and efficiency [2][3] - The smart driving sector is experiencing rapid advancements, particularly in application innovation, marking a turning point for mid-to-high level autonomous driving [8][9] Industry Trends - The future of the smart driving industry is promising, but challenges remain, with only 3 to 4 major technology providers expected to survive in the long run [3][19] - The concept of "smart driving equality" proposed by companies like BYD is seen as a necessary trend that will drive technological development and reduce costs in the smart driving sector [9] Company Insights - Horizon Robotics, under the leadership of President Chen Liming, plays a crucial role in the smart driving industry, focusing on providing intelligent driving solutions [2][4] - The company emphasizes a "soft and hard synergy" approach, recognizing that deep integration of software and hardware is essential for achieving high performance and cost-effectiveness in smart driving technologies [14][15] Technological Development - The industry is currently in a rapid iteration phase, with ongoing innovations in algorithms and increasing demands for computing power, as evidenced by Horizon's flagship chip, which has significantly improved performance metrics [11][12] - The need for efficient engineering capabilities to translate technology into cost-effective products is highlighted as a critical challenge for the industry [14] Future Outlook - The ultimate goal for the smart driving industry is the realization of L4 and L5 level autonomous driving, which would transform vehicles into mere transportation tools, enhancing productivity and leisure during commutes [17][18] - The competitive landscape will likely see a division of labor where most automotive companies will rely on capable suppliers, rather than pursuing full-stack self-development [18][19]