Core Viewpoint - The launch of fully autonomous driving services by Luobo Kuaipao in Abu Dhabi marks a significant step in the commercialization and internationalization of Chinese autonomous driving technology [1] Group 1: Company Developments - Luobo Kuaipao has officially launched its fully autonomous driving service for the public in Abu Dhabi in collaboration with AutoGo [1] - This is the first time Luobo Kuaipao has introduced a public-facing fully autonomous driving service overseas [1] Group 2: Industry Implications - The initiative signifies a critical advancement in the commercialization of autonomous driving technology from China [1] - The service allows local residents and tourists to summon fully autonomous vehicles via the AutoGo App, indicating a growing acceptance and integration of autonomous technology in urban mobility [1]

Core Insights - The Shenzhen Intelligent Connected Vehicle New Year Conference successfully gathered government departments, industry organizations, and leading enterprises to discuss the development direction of the intelligent connected and autonomous driving industry in Shenzhen [1] Group 1: Company Developments - New Stone has operated 374 autonomous delivery vehicles in Shenzhen, with plans to expand the fleet to 1,000 vehicles in 2026, focusing on night delivery and diverse scenarios including fresh produce, hotel linens, and supermarket supply chains [3] - New Stone has established a key R&D base in Shenzhen and aims to accelerate the large-scale, commercial, and standardized development of autonomous delivery under the guidance of Shenzhen's "4123" strategic initiative [5] - New Stone has become a founding member of the newly established Shenzhen Autonomous Driving Safety Laboratory, participating in the construction of a safety testing system for autonomous delivery [7] Group 2: Industry Recognition and Future Plans - New Stone received the "Comprehensive Excellence Award" and "Safety Escort Award" at the 2025 Guangdong-Hong Kong-Macao Greater Bay Area Functional Autonomous Vehicle Competition, highlighting its technical strength and safety performance in the field [9] - The company aims to promote the application of autonomous delivery based on its experiences in Shenzhen, emphasizing safety as a fundamental principle while driving technological innovation and ecological collaboration as core motivators for industry advancement [9]

Core Viewpoint - The article emphasizes the importance of practical learning experiences in cutting-edge technology and investment research, highlighting the collaboration between entrepreneurs and top-tier companies to explore new opportunities in emerging industries [12][24]. Schedule Overview - The schedule for 2025 includes visits to leading companies in various sectors such as AI, robotics, and new energy, with specific dates and locations outlined for each event [5][9][10]. - Notable events include visits to companies like Tesla, Google, and various AI and robotics firms, providing participants with firsthand insights into industry trends and innovations [7][8][24]. Learning Experience - The program offers deep exploration into the development of cutting-edge technologies, allowing participants to witness the entire process from laboratory to industrialization [12]. - Participants engage in top-level dialogues with founders and executives, gaining insights into strategic decisions and industry disruption logic [12][24]. Participant Feedback - Feedback from participants highlights the value of the program in enhancing their understanding of macroeconomic trends and investment strategies, as well as fostering connections among entrepreneurs [46][47]. - Participants express appreciation for the practical approach of the program, which combines theoretical knowledge with real-world applications in leading technology firms [42][44].

Group 1 - By the end of 2025, China's first batch of L3 autonomous vehicles will receive exclusive licenses, marking the transition from technical testing to commercial deployment [2] - In early January 2026, Yuanrong Qixing announced a partnership with a leading international OEM for L3 autonomous driving, representing the first international collaboration of its kind for domestic smart driving companies in 2026 [2] - The introduction of exclusive licenses and international collaboration is seen as a significant milestone, indicating that 2026 will be the year when L3 autonomous driving commercialization truly begins [2] Group 2 - L3 autonomous driving represents a turning point, shifting from driver-assisted systems (L2 and L2+) to highly automated systems where the vehicle takes over driving tasks under specific conditions [3] - The transition to L3 requires higher safety and reliability standards, focusing on environmental perception stability and decision-making predictability [3] - The challenge in moving from L2+ to L3 lies in redefining responsibility; once a system is classified as L3, the responsibility shifts from the driver to the system during its operation [4] Group 3 - Yuanrong Qixing's collaboration with an international OEM is a milestone in China's autonomous driving sector, moving beyond previous partnerships that focused on Robotaxi demonstrations and hardware collaborations [4] - Yuanrong Qixing aims for L4 fully autonomous driving from the outset, emphasizing the system's understanding and judgment capabilities without relying on high-precision maps [5] - The company's city NOA system is designed for nationwide deployment without the need for city-specific adaptations, showcasing its technological advancements [5] Group 4 - In 2025, over 200,000 vehicles equipped with Yuanrong Qixing's assisted driving system are expected to be delivered, involving more than 15 mass-produced models [6] - The collaboration with domestic OEMs allows for faster project rhythms and shorter feature rollout cycles, necessitating efficient communication and delivery mechanisms [6] - The differences in focus between domestic and international OEMs highlight varying approaches to L3 product planning, with domestic firms prioritizing efficiency and rapid iteration, while international firms emphasize safety and regulatory compliance [6]

（编辑 任世碧） 证券日报网讯 1月16日，万马科技在互动平台回答投资者提问时表示，公司全资子公司上海优咔与英伟 达就NVAIE在自动驾驶数据闭环平台中的应用开展了相关合作，赋能车企智能驾驶数据闭环工具链。 ...

Group 1 - The core point of the article is that WeRide (WRD.US) has announced a significant expansion of its Robotaxi fleet, which has grown to 1,023 vehicles as of January 12, 2026 [1] - WeRide's Robotaxi service is now operational in over 10 major cities globally, including Guangzhou, Beijing, and Abu Dhabi, where it has achieved commercial operation with fully autonomous vehicles [1] - The Abu Dhabi fleet is on track to reach breakeven on a per-vehicle basis, indicating a positive financial outlook for the company's operations in that region [1]

Core Viewpoint - The incident involving a Haier Robotaxi in Zhuzhou, Hunan, which injured two pedestrians, raises significant concerns about the safety of autonomous driving technology, responsibility allocation, and industry regulation [1][3][8] Group 1: Incident Details - A Haier Robotaxi struck two pedestrians at a crosswalk, leading to the suspension of operations in Zhuzhou, with no confirmed timeline for resumption [1] - The accident is noted as the first reported injury incident involving a Robotaxi in China, prompting widespread discussions on the safety of autonomous driving technology [1][3] - The vehicle's failure to brake in time after the collision indicates potential delays in algorithmic decision-making [3] Group 2: Technical Challenges - The accident has sparked debate over the shortcomings of the perception system, particularly in high-light conditions where the recognition rate for dynamic pedestrians drops significantly [3][5] - Different perception technologies, such as pure vision and LiDAR, have their own limitations, particularly in adverse weather conditions and complex environments [5][11] - The incident highlights the need for improved redundancy and reliability in autonomous driving systems, as well as the importance of thorough testing under various conditions [11][12] Group 3: Regulatory and Legal Implications - There is currently no national law in China specifically addressing accidents involving Level 4 autonomous vehicles, leading to complexities in responsibility determination [8] - Legal experts suggest that Haier, as the operator, bears primary responsibility for safety, while passengers may not be liable due to the nature of Level 4 systems [8] - The existing legal framework is seen as outdated, failing to adequately address the nuances of fully autonomous driving scenarios [8] Group 4: Industry Response and Future Directions - The incident serves as a wake-up call for other Robotaxi companies to analyze accident causes and explore ways to mitigate potential issues [7] - Industry experts emphasize the need for a balance between technological advancement and safety, advocating for increased investment in core technology development and rigorous testing processes [10][12] - Recommendations include establishing a comprehensive regulatory framework, enhancing safety standards, and promoting data transparency to improve oversight of autonomous vehicle operations [12]

来源 | 机器之心 原文链接： 端到端智驾新SOTA | KnowVal：懂法律道德、有价值观的智能驾驶系统 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 一个智能驾驶系统，在迈向高阶自动驾驶的过程中，应当具备何种能力？除了基础的感知、预测、规划、决策能力，如何对三维空间进行更深入的理解？如 何具备包含法律法规、道德原则、防御性驾驶原则等知识？如何进行基本的视觉 - 语言推理？如何让智能系统具备世界观和价值观？ 来自北京大学王选计算机研究所王勇涛团队的最新工作 KnowVal 给出了一种有效可行的方案。 通过自动驾驶领域专用感知和开放式三维感知，能够抽取常见实例与长尾实例的 3D 目标检测结果与实例特征，以及面向开放世界的全场景占据栅格预测与 体素特征，抽取特征保证了整个系统的特征传递与可导；同时，通过利用轻型 VLM 实现的抽象元素理解，能够对上一时间帧知识检索分支要求的信息进行 补充，针对「是否是隧道、桥梁场景？是否是夜间场景？」等抽象概念进行自然语言描述。 论 ...

Core Insights - The company, WeRide, announced that as of January 12, 2026, its global Robotaxi fleet will consist of 1,023 vehicles [1] - WeRide's Robotaxi service has entered over 10 major cities worldwide, with commercial operations in Guangzhou, Beijing, and Abu Dhabi being fully unmanned [1] - The Abu Dhabi fleet is on track to achieve single-vehicle breakeven [1]

Group 1 - The core point of the article is that Wenyan Zhixing has officially entered the "thousand-vehicle era" with its global Robotaxi fleet, marking a significant milestone in the scale deployment of autonomous driving and advancing the commercialization of the global autonomous driving industry [1][3] - The new generation Robotaxi GXR, which is the world's first Robotaxi equipped with the NVIDIA DRIVE Thor X chip, provides 2000 TOPS AI computing power and meets L4 autonomous driving requirements, leading to a 50% reduction in autonomous driving kit costs and an 84% decrease in total lifecycle costs [1][3] - Wenyan Zhixing's Robotaxi has established a global operational network covering over 10 major cities across Asia, the Middle East, and Europe, with successful commercial operations in Guangzhou and Beijing [3] Group 2 - The company has achieved a fourfold increase in fleet size in Abu Dhabi since launching pure unmanned commercial operations in December 2024, nearing breakeven on a per-vehicle basis, and plans to expand to Singapore by 2026 [3] - To enhance user experience, Wenyan Zhixing launched the "Wenyan Travel" WeChat mini-program, allowing users to easily call for Robotaxi services without downloading an app, thereby increasing service accessibility [4] - The company aims to deploy hundreds of thousands of Robotaxis globally by 2030, contributing to the intelligent and low-carbon transformation of transportation systems, and its thousand-vehicle deployment serves as a benchmark for the industry [4]