2005 年，就读于清华大学自动化专业的韦峻青了解到 DARPA ，觉得这是一个可以改变世界的技术，由 此对自动驾驶生产浓厚兴趣。为此，他在申请学校时选择的都是自动驾驶研究排名靠前的学校，并如愿以 偿去到卡内基梅隆大学（CMU），成为 CMU 自动驾驶实验室的第一批博士生。 2017 年，德尔福改名自动驾驶公司安波福，韦峻青出任全球工程副总裁。在安波福任职期间，韦峻青主 导建立了安波福匹兹堡技术中心、拉斯维加斯客户体验和无人驾驶车队运营中心，与 Lyft 合作展开 100 辆 L4 无人驾驶出租车运营和测试平台。 2019 年，他受滴滴邀请回国担任其自动驾驶公司 CTO。 " 一位自动驾驶从业者的十八年追梦之旅。 " 作者丨张进 编辑丨李雨晨 2005 年，美国国防高级研究计划局"DARPA"举办的第二届无人驾驶汽车挑战赛——DARPA Grand Challenge 在莫哈维沙漠举行，共有 23 支队伍进入决赛。 最终，斯坦福大学团队在 Sebastian Thrun 的带领下，其研发的"Stanley" 赛车力压卡内基梅隆大学团队的两辆改装悍马，以第一名的成绩完赛获得 冠军，拿走了 200 万美金的赛事奖 ...

Core Insights - The primary goal of the company is not to completely replace human labor but to significantly enhance the feasibility of logistics solutions by reducing labor costs by 50% to 80% through scalable operations [2] - The ultimate aim of autonomous driving is 100% automation, but the company emphasizes a balanced approach where machines handle standardized transport tasks while humans manage more complex operations [2][5] - The company has developed a hybrid intelligent convoy model, which combines manned lead vehicles with unmanned following vehicles, and has successfully implemented regular autonomous driving tests in various regions of China [2][4] Company Strategy - The company plans to test its kargoBot Space transport robot in 2026, which will have a 25% increase in cargo space and a 10% increase in effective load, leading to a fivefold increase in gross profit per vehicle [4] - The CEO predicts that in the next decade, there will be one million unmanned transport vehicles operating across urban and rural areas, supporting a new logistics network [5] - The company focuses on enhancing its AI capabilities, having achieved end-to-end autonomous driving, and aims to develop a specialized driving model for heavy trucks based on extensive operational data [5][6] Market Positioning - The company believes that the hybrid intelligent convoy model will remain relevant, especially for bulk commodity transport, and anticipates that it will capture a significant market share in the long term [8][11] - The company has deployed over 400 autonomous trucks, with a hardware cost of only 90,000 yuan per unit, and has achieved a gross profit increase of 3 to 6 times through its operational model [13][14] - The CEO emphasizes the importance of achieving route-level profitability rather than just focusing on individual vehicle profitability, aiming for a sustainable business model that can handle large volumes of freight [14][15] Technological Development - The company utilizes data-driven reinforcement learning techniques and various autonomous driving solutions to achieve fully unmanned operations in complex logistics scenarios [3] - The hybrid intelligent convoy model enhances safety, fuel efficiency, and intelligence by allowing vehicles to share sensor data and control commands, improving overall operational efficiency [12][13] - The company is positioned as a key player in the autonomous truck sector, with a focus on leveraging specific domain data and fine-tuning applications to enhance performance [7][16]