（文章来源：每日经济新闻） 每经AI快讯，据轻舟智航微信公众号11月21日消息，轻舟智航与浙江金邮供应链技术服务有限公司正 式签署战略合作协议，共同推动L4级无人物流车在宁波的开放道路上实现规模化商用。根据规划，双 方将于2025年内在宁波实现多条无人物流标杆线路的常态化运营，重点承接网点与驿站之间的货物收派 与转运任务，并计划于2026年上半年内投放数百台无人物流车。 ...

人民财讯11月21日电，11月20日，轻舟智航与浙江金邮供应链技术服务有限公司正式签署战略合作协 议，共同推动L4级无人物流车在宁波开放道路上实现规模化商用。 根据规划，双方将于2025年内在宁波实现多条无人物流标杆线路的常态化运营，重点承接网点与驿站之 间的货物收派与转运任务，并计划于2026上半年投放数百台无人物流车。 ...

Core Insights - Lightyear Intelligent and Chery Commercial Vehicles have established a strategic partnership for unmanned logistics, aiming to develop a new mass-produced L4 logistics product [1] - The collaboration will leverage both companies' strengths in autonomous driving technology, vehicle mass production, and global market resources to promote the large-scale application of unmanned logistics vehicles in urban delivery scenarios [1] Summary by Categories Partnership Details - The strategic cooperation marks a deepening of the relationship between Lightyear Intelligent and Chery Commercial Vehicles [1] - The first unmanned logistics vehicle developed by the partnership has already been deployed in cities such as Suzhou, Jinhua, and Wuhu [1] Product Development - The goal is to create a globally leading vehicle-grade unmanned commercial vehicle platform [1] - Future plans include expanding the deployment of unmanned logistics vehicles to core urban delivery areas across the country and eventually to global markets [1]

Core Insights - Neolix, a Level 4 autonomous logistics vehicle company, announced the completion of over $600 million in Series D financing, marking the largest private equity financing in China's autonomous driving sector to date [1] - The funding round was led by Stone Venture from the UAE, with participation from several prominent investors, including Gaocheng Investment and Xincheng Capital [1] - Neolix plans to use the funds to enhance algorithm and technology development, expand product offerings for various commercial scenarios, and improve service networks to elevate user experience [1] Company Developments - Neolix's CEO, Yu Enyuan, stated that the financing will strengthen the company's technological capabilities and market competitiveness in the unmanned urban distribution sector, accelerating the commercial application of autonomous vehicles to meet growing domestic and international demand [1] - The company has delivered over 10,000 Level 4 autonomous vehicles, making it the first in the world to achieve this milestone, with monthly deliveries exceeding 2,000 vehicles [2] - Neolix has deployed vehicles in over 300 cities, with a cumulative Level 4 autonomous driving mileage surpassing 50 million kilometers [2] Market Outlook - The market for autonomous delivery vehicles is expected to experience exponential growth, with a projected demand for over 100,000 units by 2027 in both domestic and international markets [2] - Major cities like Beijing, Shanghai, and Guangzhou are anticipated to have thousands of autonomous delivery vehicles operating within three years, potentially leading to a total of hundreds of thousands of units [2] - The logistics industry is facing a labor shortage and increasing daily parcel volumes, positioning Neolix's autonomous logistics vehicles as a key solution to address these challenges [1][3] Technological Advancements - Neolix has developed a foundational model for freight called "Neolix-VA," enabling end-to-end operations and allowing its RoboVan fleet to integrate smoothly into complex traffic environments [3] - The company's autonomous driving technology is now being commercialized, with ongoing iterations of the model expected to overcome geographical and cost limitations in the industry [3] - Industry experts predict a surge in demand for autonomous delivery vehicles in the next three years, with estimates suggesting sales could exceed 30,000 units by 2025 [3]

Core Insights - UQI, a subsidiary of UBTECH, has appointed Yang Jifeng, a former head of Great Wall Motors' AI Lab, as a technical partner and co-CEO [1] - Yang Jifeng brings extensive experience in Robotaxi, large model development, and international technology collaboration [1] - He will lead the core R&D of UQI's industrial humanoid robots and L4-level unmanned logistics vehicles, as well as spearhead overseas business expansion [1] - The goal is to create an "end-to-end unmanned logistics system based on embodied intelligence" [1]