Core Viewpoint - The article discusses the rapid advancement and application of autonomous driving technology in commercial vehicles, particularly in mining and port operations, highlighting the shift from traditional methods to intelligent, automated solutions that enhance efficiency and reduce costs [4][5][9]. Group 1: Autonomous Driving in Mining - The introduction of autonomous trucks in the Yimin open-pit coal mine has transformed traditional transportation methods, reducing the need for human drivers significantly [4][12]. - Autonomous mining trucks can operate without drivers, utilizing advanced technologies to navigate and perform tasks, which has led to a reduction in labor costs by 35% and a decrease in safety incidents [17]. - Companies like Taga Zhixing have pioneered the development of autonomous mining vehicles, achieving operational efficiencies that match or exceed human-driven vehicles [19]. Group 2: Autonomous Driving in Ports - The deployment of autonomous container trucks at ports, such as the Yangluo Port, is becoming a critical component of smart port construction, enhancing operational efficiency [7][26]. - These autonomous trucks are equipped with multiple sensors and utilize 5G technology for real-time communication, allowing for precise navigation and task execution [8][32]. - The successful implementation of autonomous vehicles in ports is expected to lead to a nationwide rollout, with plans to replicate the model across 50 ports in the next three years [32]. Group 3: Technological Innovations - Companies are developing customized technologies, such as "balanced compaction," to enhance the operational efficiency of autonomous vehicles in challenging environments like mining [14]. - The integration of AI and advanced sensor technologies enables autonomous vehicles to make real-time decisions, improving safety and operational efficiency [30][34]. - The use of electric and hybrid models in commercial vehicles is on the rise, aligning with the trend towards sustainable energy solutions in the industry [15]. Group 4: Market Trends and Future Outlook - The market for autonomous commercial vehicles is expected to grow significantly, with projections indicating a penetration rate of 10% in mining by 2026-2027 [43]. - The article emphasizes the importance of regulatory support and technological advancements in facilitating the widespread adoption of autonomous driving in both closed and open environments [46][50]. - The future of commercial vehicle automation is promising, with expectations for large-scale commercial applications that will transform transportation and logistics [50].

据介绍，本轮融资将主要用于白犀牛新的低速无人车产品开发、现有产品的市场推广以及供应链体系的优化。白犀牛的无人配送车目前已在顺丰体系内实 现日均活跃运营数百台的规模，并且还在持续快速交付中。 这些无人车主要服务于顺丰各快递网点到末端驿站的无人配送场景，显著提升了物流效率。此外，白犀牛还与三通一达、极兔等快递公司达成合作，在实 际合作中帮助客户实现物流效率提升约20%-50%。 公开资料显示，白犀牛成立于2019年4月，是一家L4自动驾驶公司，由前百度自动驾驶团队成员朱磊和夏添共同创立。该公司专注于城市公开道路上的自 动驾驶产品和服务，以无人配送为起点，致力于让物流运输成本更低，让人类出行更安全、更经济。 文：韦亚军 鑫源汽车及老股东线性资本跟投。 PE星球获悉近日，L4级自动驾驶公司白犀牛智达（北京）科技有限公司（以下简称"白犀牛"）宣布完成2亿元B轮融资，本轮由顺丰集团领投，鑫源汽车 及老股东线性资本跟投。 此次融资完成后，白犀牛成为首家同时获得快递行业龙头与商用车主机厂投资的自动驾驶公司。顺丰与鑫源汽车的战略入股，不仅为白犀牛提供了资金支 持，更在业务协同与技术赋能上形成合力。顺丰将加速无人车在末端物流的规 ...