Core Viewpoint - The report from Zheshang Securities highlights the promising prospects of unmanned vehicles (Robo-X) across various applications, particularly in closed and specialized scenarios such as warehousing, mining, and military use, driven by technological advancements and supportive policies [1][3]. Group 1: Unmanned Vehicle Applications - Unmanned vehicles (Robo-X) have significant potential in multiple scenarios, including passenger transport (Robotaxi), material handling (unmanned forklifts), sanitation (Robosweeper), mining (unmanned mining trucks), military (unmanned combat platforms), and agriculture (unmanned tractors) [2][3]. - The commercial viability of unmanned logistics vehicles (Robovan) is paving the way for broader applications of unmanned vehicles in various sectors [2]. Group 2: Industry Outlook - The essence of unmanned vehicles (Robo-X) lies in the application of autonomous driving technology in specific scenarios, with advancements in algorithms, LiDAR, and domain control chips facilitating faster commercialization [3]. - Three key conditions for the rapid deployment of unmanned vehicles are identified: successful technology implementation, policy support, and sound commercial logic [3]. Group 3: Unmanned Forklift Market Potential - The global market for automated warehousing solutions is projected to exceed 2 trillion RMB, with unmanned forklifts playing a crucial role in enhancing warehouse efficiency and reducing costs [4]. - Traditional warehousing faces challenges such as low space utilization (with rental and operational costs accounting for 8%-12% of total costs) and inefficient labor practices, which unmanned forklifts can address by creating intelligent warehousing systems [4]. - The global market for automated warehousing solutions is expected to grow from approximately 471.1 billion RMB in 2024 to 804 billion RMB by 2029, with a compound annual growth rate (CAGR) of 12% from 2020 to 2024 and 11.3% from 2024 to 2029 [4]. Group 4: AMR Solutions Growth - The global market for Autonomous Mobile Robot (AMR) solutions is anticipated to reach approximately 38.7 billion RMB in 2024, with a CAGR of 30.6% from 2020 to 2024, and is projected to grow to 162.1 billion RMB by 2029, with a CAGR of 33.1% from 2024 to 2029 [5]. - The penetration rate of AMR solutions in the overall automated warehousing sector is expected to increase from 4.4% in 2020 to 20.2% by 2029 [5]. Group 5: Investment Recommendations - Recommended companies include Hangcha Group (leading domestic forklift manufacturer), Zhongli Group (global electric forklift leader), Anhui Heli (state-owned forklift leader), SANY Heavy Industry (leading Chinese construction machinery company), XCMG (emerging global construction machinery leader), Shantui (bulldozer manufacturer), Taotao Vehicle (North American leisure vehicle leader), YTO Group (large tractor leader), Beifang Group (Chinese mining vehicle leader), and Inner Mongolia First Machinery Group (military equipment leader) [6]. - Companies to watch include Zhongyou Technology and Noli Shares [7].

2025.06. 06 本文字数：1575，阅读时长大约3分钟 作者 | 第一财经 武子晔 近日，全国标准信息公共服务平台公示了关于征求《智能网联汽车组合驾驶辅助系统安全要求》拟立 项强制性国家标准项目意见的通知（下称"通知"），这为快速发展的智能辅助驾驶行业划定了更清 晰的安全底线。 国家标准计划《智能网联汽车组合驾驶辅助系统安全要求》由工信部提出，委托全国汽车标准化技术 委员会智能网联汽车分会执行，项目周期为22个月，主要起草单位包括中国汽车技术研究中心有限 公司、东风汽车集团股份有限公司、华为技术有限公司等。标准适用于装配了组合驾驶辅助系统的M 和N类汽车，规定了组合驾驶辅助系统的通用技术要求，主要包括运动控制能力、驾驶员状态监测、 驾驶员干预、系统边界及响应、系统探测能力、系统安全性要求、功能安全等方面，并规定相应的审 核要求，明确典型工况的试验方法。 据GB/T40429-2021《汽车驾驶自动化分级》，组合驾驶辅助（2级驾驶自动化）系统是指在其设 计运行条件下持续地执行动态驾驶任务中的车辆横向和纵向运动控制，且具备与所执行的车辆横向和 纵向运动控制相适应的部分目标和事件探测与响应的能力的系统。 业 ...

全国标准信息公共服务平台公示了关于征求《智能网联汽车组合驾驶辅助系统安全要求》拟立项强制性 国家标准项目意见的通知，这为快速发展的智能辅助驾驶行业划定了更清晰的安全底线。 不久前，小米SU7事故的发生将智能驾驶安全推向了舆论顶峰。4月16日晚，工信部网站发文表示召开 智能网联汽车产品准入及软件在线升级管理工作推进会，会议强调汽车生产企业要充分开展组合驾驶辅 助测试验证，明确系统功能边界和安全响应措施，不得进行夸大和虚假宣传，严格履行告知义务。此次 通知，是工信部对于智能驾驶安全规范的进一步落地。 上述通知指出，通过制定强制性国家标准，约束组合驾驶辅助系统功能表现，促进提升产品安全性能， 减少由于产品性能缺陷导致的安全事故，将有助于提升我国道路交通整体安全水平，实现标准内容对于 组合驾驶辅助系统产品形态的全面覆盖，为相关行业管理工作提供技术支撑，同时在引导生产企业产品 迭代升级，协助提高行业对于组合驾驶辅助系统的试验技术水平，引导完善相关产品测试设备等多方面 均具有积极的推动作用。 多名业内人士认为，新规并不是要限制技术发展，而是要确保技术以更安全的方式落地。 今年以来，北京、上海等城市加速推进高级别自动驾驶示 ...