以"智驾赛道"为基本盘"，挖掘具身智能赛道新增长机遇，知行科技（01274）多条赛道纵深发展。 知行科技深耕于智驾赛道，是国内智能驾驶解决方案领头者之一，拥有已商业化的L2级至L2+级组合驾 驶辅助解决方案（L2+级并非SAE(1)标准下的官方分类），并正在开发L3至L4级自动驾驶解决方案。凭 借着技术及产品力优势，该公司在智驾赛道上脱颖而出，落地场景从乘用车逐步渗透至商用车及物流车 等多领域。 四化体系的高效技术复用。知行科技布局智能驾驶赛道多个领域，此前能够连续获得无人物流车项目定 点，得益于该公司体系敏捷化、算法轻量化、硬件模块化、软件平台化的"四化体系"，并能够在这些领 域实现有效复用。技术复用有效降低开发成本，实现扩大规模效应，同时实现成本和性能的兼得。 2025年3月，该公司设立了全资子公司艾摩星机器人；5月与苏州小工匠机器人签署股权转让框架协议， 快速布局具身智能关键零部件；7月与地平线附属公司深圳地瓜机器人达成初步合作意向，拟打造基于 地瓜机器人RDK S100P智能计算平台的机器人控制器艾摩星iRC100，为客户提供更加成熟可靠的软硬 一体化智能机器人解决方案。 域控制器为自动驾驶系统提供高 ...

Core Insights - The concept of "world model" has become a trendy term in the intelligent driving sector, with various companies like Xpeng, NIO, and Huawei adopting different terminologies for similar technologies [2][3][4] - World models are seen as a crucial component in the development of "physical world AI," enabling artificial intelligence to understand and replicate real-world dynamics [3][4] - The current application of world models in the intelligent driving industry is primarily cloud-based, with no direct implementation in vehicles yet [6] Group 1: Industry Trends - The shift from rule-based systems to AI-driven models in intelligent driving has led to a unified approach, where perception, prediction, and planning are integrated into a single network [7] - Despite the advancements, the transition to end-to-end models has revealed shortcomings in traditional simulation tools, necessitating the development of more sophisticated simulation environments [10][11] - The introduction of world models aims to address the limitations of existing simulators by providing a more comprehensive and realistic virtual environment for testing and validation [10][11] Group 2: Technical Challenges - The effectiveness of AI-driven models is hindered by the "black box" nature of end-to-end systems, making it difficult to diagnose errors and ensure reliability [9][10] - Current world models in the industry are still in the early stages, with limitations in generating realistic and diverse scenarios for training purposes [16][18] - The challenge lies in ensuring that generated scenarios accurately reflect real-world conditions, as inaccuracies can lead to poor model performance in practical applications [17][18] Group 3: Future Directions - Companies are exploring various approaches to enhance world models, with some opting for more controllable methods like 3D Gaussian reconstruction [14][15] - The ultimate goal is to develop world models that can support decision-making processes in vehicles, moving beyond their current use as training and validation tools [19] - Achieving a high level of accuracy and reliability in world models is essential for their deployment in real-world driving scenarios, which remains a significant hurdle for the industry [19]

本文源自：金融界AI电报 港股智能驾驶板块盘初走强，百度(09888.HK)涨超2%，浙江世宝(01057.HK)、中国联通(00762.HK)、广 汽集团(02238.HK)等个股跟涨。《广东省加快数字社会高质量建设实施意见》提出，拓展无人驾驶公共 交通运营区域，扩大智能网联汽车道路测试与示范应用范围，鼓励导航、网约车、智慧停车等数字交通 服务平台提供智慧融合交通服务。 ...

Market Overview - The Hong Kong stock market opened lower on February 5, with the Hang Seng Index down 219.37 points, a decline of 0.82%, closing at 26,627.95 points [1] - The Hang Seng Tech Index fell by 70.55 points, down 1.31%, to 5,295.89 points [1] - The China Enterprises Index decreased by 69.92 points, a drop of 0.77%, to 8,978.46 points [1] - The Red Chip Index declined by 8.89 points, down 0.2%, to 4,363.4 points [1] - The previous day saw mixed performance among the three major indices, with the Hang Seng Index closing in the green while the Hang Seng Tech Index experienced a drop of over 2% at one point [1] Company Performance - Xinda Biologics (01801.HK) reported a projected total product revenue of approximately RMB 11.9 billion for 2025, reflecting a year-on-year growth of about 45% [2] - Lee & Man Paper Manufacturing (02314.HK) anticipates a profit of approximately HKD 1.88 billion to HKD 2.00 billion for 2025, representing a year-on-year increase of 38% to 47% [2] - ZTO Express (02057.HK) expects total revenue for 2025 to be between RMB 48.5 billion and RMB 50 billion, with a year-on-year growth of about 9.5% to 12.9% due to increased parcel volume [2] - China Resources Cement (01313.HK) forecasts a year-on-year profit increase of approximately 115% to 135% for 2025, driven by cost reductions and decreased impairment losses [2] - Gemdale Corporation (00535.HK) reported a total contract sales amount of approximately RMB 239 million in January, a year-on-year decrease of 61.82% [3] - Fosun International (00656.HK) plans to subscribe to additional registered capital of Shangan Technology for RMB 105 million, acquiring a 51.0879% stake post-capital increase [3] - Shanghai Pharmaceuticals (02607.HK) intends to transfer its 30% stake in Amgen for a minimum listing price of approximately RMB 1.023 billion [3] Corporate Actions - Caocao Travel (02643.HK) completed a placement of 12 million shares at HKD 32.46 per share, raising approximately HKD 383 million [4] - Kingsoft (03888.HK) repurchased 1.0886 million shares for HKD 29.99 million, with repurchase prices ranging from HKD 27.18 to HKD 28 [5] - Xiaomi Group (01810.HK) spent HKD 146 million to repurchase 4.3 million shares at prices between HKD 33.94 and HKD 34.02 [6] - Kingdee International (00268.HK) repurchased 1 million shares for HKD 11.0597 million, with prices between HKD 11.05 and HKD 11.1 [7] Industry Insights - Guosen Securities remains optimistic about the spring market, suggesting a focus on performance-based investments despite potential negative impacts from the rebound of the US dollar index and rising US Treasury yields [8] - CICC noted advancements in global large model technology capabilities, particularly in reasoning and programming, while highlighting ongoing limitations in general capabilities [9] - Xinda Securities pointed out the continuous improvement of regulations in the domestic intelligent connected vehicle sector, with an expected market size of RMB 270 billion for Robo-taxis by 2030 and a projected increase in the logistics vehicle industry value to RMB 594.8 billion by 2030 [9]

Core Viewpoint - The company is actively collaborating with leading enterprises in the drone industry to provide infrared thermal imaging products and solutions, while also expanding its market presence in the smart driving sector through partnerships with various commercial and passenger vehicle manufacturers [1] Group 1: Low-altitude Economy - The company has formed partnerships with top enterprises in the drone industry to meet customer demands and support the development of the drone sector [1] Group 2: Smart Driving - The company’s subsidiary, Xuanyuan Zhijia, has secured partnerships with commercial vehicle manufacturers such as Shaanxi Heavy Truck and Baidu Xinjian [1] - In the passenger vehicle sector, the company has received notification letters for partnerships from Geely Automobile, Dongfeng Mengshi, and GAC Aion [1] - The company has also obtained project notification letters from Geely Zeekr and leading domestic Robotaxi enterprises, indicating ongoing efforts to expand collaborations in the passenger vehicle market [1]

Market Dynamics - The U.S. stock market showed mixed results, with the Dow Jones up by 0.53%, while the S&P 500 and Nasdaq fell by 0.51% and 1.51% respectively, with the Nasdaq breaking below its 100-day moving average [1] - Southbound capital in Hong Kong saw a net inflow of approximately 13.373 billion HKD, marking the highest single-day inflow since January 22, with Tencent and Alibaba receiving net purchases of about 2.231 billion HKD and 1.171 billion HKD respectively [4] - The latest data indicates that the number of newly opened margin trading accounts in January 2026 reached 190,500, a 29.5% increase from December 2025, and a 157.09% increase year-on-year [4] Commodity Prices - WTI crude oil futures rose by 3.05% to $65.14 per barrel, while Brent crude increased by 3.16% to $69.46 per barrel [2] - COMEX gold futures increased by 1.04% to $4,986.4 per ounce, and silver futures rose by 5.36% to $87.765 per ounce [2] Industry Developments - Domestic private commercial rocket company Dongfang Space is expected to complete the first flight of its "Gravity II" medium-sized liquid reusable launch vehicle by mid-2026 [5] - The National Space Computing Center, part of the "Star Computing" plan by Guoxing Aerospace, aims to establish a super space computing network consisting of 2,800 satellites, with the first group already launched [5] - Tesla's Shanghai factory delivered 69,129 vehicles in January, marking a 9% year-on-year increase, continuing a trend of growth in wholesale sales for three consecutive months [16] Technological Innovations - The brain-machine interaction and human-machine integration laboratory has developed the first brain-controlled acupuncture and neuro-rehabilitation equipment platform in China, which is currently undergoing clinical trials [9] - Tencent's AI Infra team launched an open-source high-performance LLM inference core operator library, achieving a 30% improvement in model inference performance [7] Regulatory and Policy Updates - The People's Bank of China emphasized the need for structural monetary policy tools to support key areas such as expanding domestic demand and technological innovation [10] - The Ministry of Industry and Information Technology highlighted the importance of AI in manufacturing, aiming to strengthen application foundations and key technologies [11]

报告来源 以上内容节选自国泰海通证券已发布的证券研究报告。 报告名称： AI应用重要阵地，Robotaxi还看中国；报告日期：2026.02.04 报告作者： 刘一鸣（分析师），登记编号：S0880525040050 石佳艺（分析师），登记编号：S0880525070001 Robotaxi平价供给创造需求，中国Robotaxi市场空间可达500亿元，硬件降本，软件迭代，政策开放，Robotaxi已近商业化拐点，L2、L4参与者共同推进 Robotaxi加速渗透，推荐Robotaxi增量硬件标的，关注Robotaxi算法公司。 风险提示： 智能驾驶法规制定不及预期：智能驾驶车辆的上路需要以道路安全法规做出相应修改为基础，如责任界定、数据保存等存在技术难点，遇到特殊 事故情况责任难以界定影响道路安全法规的修改进度，则产业链商业闭环时点将延后。智能驾驶技术进步不及预期：算法的易用性决定了乘车体验，芯片的价 格决定了智能驾驶套件的成本，这两者直接决定智能网联车辆的推广速度，如技术迭代放缓，则产业链商业闭环时点将延后。出现智能驾驶事故：将极大影响 消费者对于技术的信任程度，进而影响推广速度。 扫码关注 星标不迷路 国 ...

Core Insights - The Chinese smart driving industry is undergoing significant transformation driven by AI, with a focus on urban NOA (Navigation on Autopilot) as a key competitive feature, achieving a penetration rate of 10% by the end of 2025 [1][3] - Major players in the market include Huawei HI, Yuanrong Qixing, and Momenta, collectively capturing over 90% of the third-party market for urban NOA solutions [1][3][6] - The industry is witnessing a shift towards three main technical routes: VLA (Vision-Language-Action Model), world models, and end-to-end reinforcement learning, with ongoing debates about the necessity of incorporating language dimensions [2][9][10] Market Trends - Urban NOA has become the focal point for functionality, with a rapid increase in adoption, reaching a penetration rate of 7.01% in the first three quarters of 2025, and expected to exceed 10% by year-end [3][11] - The competitive landscape is evolving, with a clear head effect emerging among leading players, as Huawei HI, Yuanrong Qixing, and Momenta dominate the urban NOA market [3][6] Player Analysis - Huawei HI offers a full-stack solution primarily for mid-to-high-end vehicles, with an impressive selection rate of 80% [5] - Yuanrong Qixing focuses on partnerships with leading manufacturers to define popular products, experiencing a rapid increase in delivery volumes [5][6] - Momenta has the broadest market coverage, with its partnerships spanning various price segments, and has shown significant growth in market share [6] Technical Developments - The industry consensus has shifted towards end-to-end solutions, with three distinct technical routes emerging: VLA, world models, and end-to-end reinforcement learning [9][21] - VLA, which emphasizes the integration of language for enhanced cognitive capabilities, is gaining traction as a leading approach in the smart driving sector [10][21] Future Outlook - The penetration of urban NOA is expected to double in 2026, with predictions of 5 million vehicles equipped with advanced driving capabilities, highlighting the critical nature of this feature for automotive manufacturers [12] - Companies face a choice between developing their own solutions or opting for external suppliers, with the latter becoming increasingly necessary due to the high costs and time associated with in-house development [12][15] - The trend towards external partnerships is reinforced by the need for robust data and proven solutions, as well as the growing importance of international market expansion [15][18]

Core Insights - The article emphasizes the importance of capturing investment opportunities aligned with China's 14th Five-Year Plan, focusing on high-quality development and technological self-reliance [1][2] Investment Strategies - The investment landscape for 2026 is shaped by the "14th Five-Year Plan," which serves as a guiding framework for strategic investments, emphasizing high-quality development and innovation [2] - Key investment opportunities are identified in three main sectors: traditional industries (e.g., chemicals, shipbuilding), emerging industries (e.g., AI, energy storage), and frontier technologies (e.g., embodied intelligence, nuclear fusion) [2] Innovation in Pharmaceuticals - Chinese innovative pharmaceutical companies are expected to experience significant growth, with the total amount of License-out agreements projected to exceed $121.6 billion by 2025, doubling from 2024 [3] - The introduction of AI models is anticipated to shorten drug development cycles and enhance success rates, leading to a revaluation of the innovative drug sector [3] Hong Kong Market Outlook - The Hong Kong stock market is viewed positively, with major investment banks highlighting the resilience and vitality of the Chinese economy, making it a preferred choice for asset allocation [4][5] - The analysis of Hong Kong tech assets reveals two main investment themes: a return to EPS growth and cash flow recovery, alongside a focus on leading internet platforms and emerging industries like smart driving [5] AI Industry Insights - AI is positioned as a transformative force comparable to previous industrial revolutions, with significant growth potential as applications become more widespread [6] - The commercialization of AI applications, particularly in smart driving and robotics, is expected to gain momentum, presenting investment opportunities in related companies [6] Renewable Energy Sector - The renewable energy sector is forecasted to continue its upward trend, with significant opportunities in lithium battery technology and new materials, particularly solid-state batteries [7] - The chemical industry is also expected to see a recovery in profitability, driven by demand growth and supply-side reforms [7] Financial and Real Estate Sector - The financial and real estate sectors are showing signs of recovery, with a rebound in second-hand housing transactions and improved profitability for insurance companies [8] - Investment opportunities are emerging in quality real estate firms and banks with strong wealth management capabilities [8] Consumer Sector Trends - The consumer sector is experiencing a shift, with new growth areas such as smart home products and outdoor lifestyle gaining traction [11] - The changing demographics and consumer preferences are expected to drive growth in sectors like travel, healthcare, and wellness [11] Fixed Income Investment Strategies - The fixed income market is anticipated to remain stable, with a focus on short-term and medium-term bond funds for liquidity and steady growth [14] - The overall bond market is expected to exhibit a fluctuating pattern, influenced by monetary policy and economic data [14]

Summary of Conference Call Notes Industry Overview - The document discusses the automotive industry, specifically focusing on the policies regarding the export of intelligent driving data as outlined in the "Automotive Data Export Security Guidelines (2026 Edition)" issued by the Ministry of Industry and Information Technology and eight other departments on February 3rd, 2026 [1] Core Points and Arguments - The guidelines establish a management approach for automotive data export activities, detailing the applicable conditions and specific business scenarios for determining important data [1] - A tiered management mechanism is highlighted, which is part of China's broader data security management policy [1] Additional Important Content - The document emphasizes the significance of data security in the context of intelligent driving technologies, reflecting the government's commitment to safeguarding sensitive information while promoting innovation in the automotive sector [1]