CES2026期间，希迪智驾与RoboSense速腾聚创宣布达成战略合作。希迪智驾CEO胡斯博表示，未来将 充分释放希迪智驾的多场景适配能力与速腾聚创的高性能传感器技术优势，加速商用车智能驾驶技术的 规模化落地。提升无人矿卡、无人物流车等商用车辆的运输效率与作业稳定性，赋能矿山、封闭园区、 通关口岸以及轨道交通、智慧城市等智能化升级，让智能驾驶持续惠及产业转型及民生改善。 面对高危封闭场景对安全与效率的严苛要求，无人驾驶商用车已成为行业刚需。在技术革新与市场需求 双重驱动下，多场景应用正加速落地，根据头豹研究院行业报告，2028年中国无人驾驶商用车市场规模 将攀升至14492亿元，年均复合增长率达67.8%，增长势头迅猛，前景广阔。 ...

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自动驾驶之心L4交流群来了，关注L4赛道融资、技术进展、RoboTaxi、RoboBus、RoboVan、无人配送、无人 矿卡、无人重卡等方向~ 添加小助理微信AIDriver005，备注：昵称+机构/学校+进群。 ...

自动驾驶之心L4交流群来了，关注L4赛道融资、技术进展、RoboTaxi、RoboBus、RoboVan、无人配送、无人 矿卡、无人重卡等方向~ 添加小助理微信AIDriver005，备注：昵称+机构/学校+进群。 ...

□ 本报记者 颜 颖 2024年，江苏制造业增加值4.63万亿元，占GDP比重达33.8%，连续4年稳居第一制造业大省；全省制造 业高质量发展指数连续5年全国第一，两化融合发展水平指数连续10年全国第一；目前拥有国家级先进 制造业集群14个，数量居全国第一……记者随"活力中国调研行"走进一线企业，感受到实体经济的有力 脉搏频频在车间活跃跳动。立足因地制宜发展新质生产力，江苏正全力构建自主可控、安全可靠、竞争 力强的现代化产业体系。 企业挺立潮头，锻造创新"主引擎" "猜猜能切割出来多少硅片？"指着展柜里一根近70厘米长的硅棒，位于徐州经开区的弘元新材料（徐 州）有限公司副总经理吴传杰公布答案："约5000片，每一片比纸还薄。"在恒温恒湿的洁净车间内，硅 片经历着从厚重到轻薄的蜕变之旅——长达600米的自动化产线上，7道精密切割工序环环相扣，每道工 序都在智能装备精准控制下完成，这些硅片将被加工成高效电池片。 光伏行业价格波动剧烈，产品超薄，光电转换效率提高，技术优势就能转化为价格优势和市场优势。该 公司电池片产线负责人于佳说，业内N型TOPCon光伏晶硅电池理论转换极限效率为28.7%，而目前公司 量产的N型 ...

2024年，江苏制造业增加值4.63万亿元，占GDP比重达33.8%，连续4年稳居第一制造业大省；全省 制造业高质量发展指数连续5年全国第一，两化融合发展水平指数连续10年全国第一；目前拥有国家级 先进制造业集群14个，数量居全国第一……记者随"活力中国调研行"走进一线企业，感受到实体经济的 有力脉搏频频在车间活跃跳动。立足因地制宜发展新质生产力，江苏正全力构建自主可控、安全可靠、 竞争力强的现代化产业体系。 近年来，江苏加快构建以企业为主体的产业创新体系，引导企业主动创新求变。既鼓励企业加快技 术和产品创新，也引导企业加快模式创新。在国家战略需求和产业发展关键环节，企业日益发挥"出题 人""答题人""阅卷人"作用，自主推动工业产品质量迈向中高端。 目前，江苏拥有国家级先进制造业集群14个，数量居全国第一。作为产业集群的"细胞"，江苏5.7 万家高新技术企业贡献近八成研发投入和九成专利授权，这种以企业为主体的创新生态，让江苏的产业 链供应链在面对外部冲击时，具有极强的自我修复和迭代能力。 数智深度融合，激活增效"新密码" 载重90吨的纯电动宽体自卸车、没有驾驶室的无人矿卡、全球最大的400吨后驱刚性矿车……在 ...

Investment Rating - The report indicates that the unmanned cargo industry is entering a high-growth phase, driven by the dual forces of technological maturity and policy support [3][4]. Core Insights - The unmanned cargo sector benefits from inherent advantages such as predictable paths and controllable environments, which lower the barriers to the implementation of unmanned driving technology compared to manned scenarios [3][5]. - The report emphasizes the importance of focusing on companies that establish technological moats and possess scalable operational experience within specific segments of the unmanned cargo market [3][4]. Summary by Sections 1. Unmanned Cargo: Diverse Application Scenarios, Driven by Technology and Policy - Unmanned driving scenarios can be categorized into manned and unmanned, with unmanned scenarios covering various fields such as logistics and special operations [9]. - The complexity of unmanned cargo scenarios is generally lower than that of manned scenarios, providing a natural advantage for technology implementation [11]. 2. Low-Speed Unmanned Vehicles: High Technological Maturity and Rapid Expansion - Low-speed unmanned vehicles, particularly in logistics and sanitation, have reached a high level of technological maturity and are transitioning from pilot projects to large-scale deliveries [4][5]. - Companies like Jiushi Intelligent and New Stone have achieved deliveries at the scale of thousands of units [4]. 3. High-Speed Unmanned Trucks: Addressing Long-Distance Freight Pain Points - High-speed unmanned trucks are still in the early stages of development but have significant market potential due to their ability to reduce labor costs and improve operational efficiency [4][5]. 4. Special Scenario Unmanned Vehicles: Low Overlap Among Players, Environmental Adaptation Creates Barriers - The special scenario unmanned vehicle market, such as unmanned mining trucks and port vehicles, has a relatively concentrated market structure with high specialization [4][5]. - The demand for unmanned mining trucks is driven by harsh environments and safety pressures, while port scenarios are evolving from early reliance on infrastructure to more flexible solutions [4]. 5. Policy Framework: Accelerating Transition from Pilot to Commercial Operations - The report outlines a comprehensive policy framework that supports the unmanned cargo sector, including national and local government initiatives aimed at facilitating the transition from laboratory validation to real-world commercial operations [21][24]. - Recent policies have focused on establishing demonstration application scenarios and refining testing standards to promote the commercial viability of unmanned cargo solutions [21][24].

行 业 及 产 业 汽车/ 商用车 行 业 研 究 / 行 业 深 度 相关研究 《技术政策双轮驱动，行业正处高速增长 阶段——载具纪元新章系列 1： Robotaxi 白皮书》 2025/12/16 证券分析师 王晨鉴 A0230525030001 wangcj@swsresearch.com 闫海 A0230519010004 yanhai@swsresearch.com 戴文杰 A0230522100006 daiwj@swsresearch.com 莫龙庭 A0230523080005 molt@swsresearch.com 联系人 汪琦阳 A0230125070006 wangqy@swsresearch.com 2025 年 12 月 19 日 无人载物场景多元，逐步迈向规模 化时刻 看好 —— 载具纪元新章系列 2：无人驾驶载物白皮书 本期投资提示： 证 券 研 究 报 告 请务必仔细阅读正文之后的各项信息披露与声明 本研究报告仅通过邮件提供给 博时基金 博时基金管理有限公司(researchreport@bosera.com) 使用。1 ⚫ 无人载物场景多样，技术政策双轮驱动，逐步迈向规模化 ...

Core Viewpoint - Xidi Zhijia Technology Co., Ltd. is set to debut on the Hong Kong Stock Exchange on December 19, becoming the first "unmanned mining truck" stock and the first commercial vehicle intelligent driving company in Hong Kong [1] Group 1: Company Overview - Xidi Zhijia has completed multiple pilot projects in various mining areas, transitioning from trial phases to large-scale implementation, creating replicable and scalable practice models [1] - The company has developed the world's largest mixed operation case at a coal mine owned by the National Energy Group, achieving coordinated operation of 56 unmanned mining trucks with approximately 500 manned vehicles [1] Group 2: Industry Insights - The unmanned mining truck sector is evolving from a focus on individual technical parameters to a comprehensive competition involving deep understanding of scenarios, ecosystem building capabilities, and long-term industry grasp [2] - The closed operational environment of mining sites reduces complexity for participants but raises demands for system reliability, adaptability, and control precision [1]

自动驾驶无人矿卡赛道传来消息：国内专注商用车智能驾驶的希迪智驾即将于12月19日登陆港股，剑 指"无人驾驶矿卡第一股"。然而，市场关注的不仅是单一企业的跃升，更是其背后一个曾被视作"小而 专"的赛道，正以惊人的速度演变为多方巨头角逐的"角斗场",一场汇聚顶尖技术、雄厚资本与深厚产业 背景的"诸神之战"，已在看似封闭的矿山深处激烈上演。 以无人矿卡为代表的商用车自动驾驶，与Robotaxi为代表的乘用车自动驾驶，在技术逻辑与应用场景上 存在根本性差异。矿卡所面对的封闭作业环境，虽然参与者不如开放道路复杂，但对自动驾驶系统的可 靠性、适应性与控制精度提出了更高的要求。 首先，矿区的复杂环境对感知系统构成持续挑战。不同矿区的地形、气候千差万别——西北矿场干旱多 尘，高海拔地区浓雾频发，沙尘暴等极端天气亦不罕见。粉尘、逆光、震动等因素导致传感器有效探测 距离缩短，小目标识别困难，突发障碍响应易滞后，需传感器具备更高的抗干扰、高耐用性。 与此同时，矿区内部无序动态化交通环境进一步增加系统复杂度。公开道路有清晰的交通法规、信号灯 指引、固定车道标线，行人与车辆通行行为具备可预测性。但矿山等封闭场景完全不同，道路为非结构 ...