| 1.卓驭与奇瑞的错过 | | --- | | 2.大卓智能的沉浮往事 | | 3.博世和文远的"黄金搭档" | | 4.地平线和Momenta的狭路相逢 | | 5.智界,背靠"华为"大树好乘凉? | 一直以来，奇瑞的智驾总方略是"全栈可控"，给予各种供应商机会：华为、Momenta、博世和文远知 行、地平线、卓驭科技、轻舟智航、鉴智科技。 " 奇瑞的智驾故事仍在续写，只是故事里没有了大卓智能。 " 作者丨马广宇 编辑丨李雨晨 从2022年博世和文远知行拿到星途星纪元项目定点，到今年4月尹同跃说"过去20年吃的是制造的饭，未 来20年要吃智能的饭，吃余凯的饭"，奇瑞俨然成为了第三方智驾供应商最好的"练兵场"。 但缺乏一个智驾主心骨也是奇瑞的心病。大卓智能的诞生，是奇瑞从"全栈可控"到"全栈自研"的标志性节 点，让奇瑞实现智能化的自研之梦。 然而，这个故事并没有续写太久。在大卓被收编后，谷俊丽曾多次对身边友人感慨："为什么好好的公司 突然没了？" 在如今的一段式端到端路线下，凭借与地平线、博世文远、Momenta的多年合作，奇瑞有着不输甚至赶超 新势力的能力，跻身国内车企智驾的第一梯队。 奇瑞的智能化故事仍 ...

Group 1: Core Insights - The report emphasizes that the digital economy will continue to drive new quality productivity in 2026, supported by advancements in AI and technology innovation [2][19][21] - The transition from "technical breakthroughs" to "value release" in the technology sector is expected to create long-term value for the industry [2][19] - The automotive sector is projected to undergo a paradigm shift from "rule-driven" to "data-driven" approaches, particularly in commercial vehicles [2][33] Group 2: Digital Economy Development - The digital economy is recognized as a key force in optimizing the three elements of productivity: labor, labor objects, and labor materials [17][19] - AI will play a crucial role in enhancing productivity through technological innovation, data resource utilization, and the establishment of a modern industrial system [19][21] - The report forecasts that the AI medical sector will grow significantly, with the market size expected to reach 159.8 billion yuan by 2028 [4][24] Group 3: Intelligent Driving - The intelligent driving sector is entering a critical phase with both gradual and leapfrog developments, leading to significant value release in 2025 [26][32] - The penetration rate of L2+ intelligent driving is expected to rise from 8% in 2024 to 15% in 2025, indicating a shift towards more affordable models [37][41] - The report highlights the importance of policy and technology in driving the commercialization of L3 autonomous vehicles [40][44] Group 4: Industrial AI - Industrial AI is set to evolve from "tool-level applications" to comprehensive integration across research, production, and management processes [3][22] - The report outlines that AI will enhance efficiency in manufacturing through adaptive intelligent systems and predictive maintenance [3][22] - The integration of AI in industrial software is expected to improve operational efficiency and drive innovation in manufacturing [22][25] Group 5: Cybersecurity - The cybersecurity industry is transitioning from "passive defense" to "active immunity," with AI-driven models enhancing threat detection and operational automation [3][23] - The report emphasizes the need for a comprehensive security framework that includes AI technology, data security, and ecosystem collaboration [23][24] - AI's role in cybersecurity is projected to significantly improve threat detection accuracy and operational efficiency [3][23] Group 6: Investment Recommendations - The report suggests focusing on sectors such as automotive, industrial AI, cybersecurity, and AI healthcare for investment opportunities during the "14th Five-Year Plan" period [21][24][25] - The automotive sector is highlighted as a core area for investment due to its potential for digital technology integration and ecosystem collaboration [21][22] - The report indicates that the development of domestic AI chips will support the digital economy by overcoming current limitations in computing power [25][26]

Core Viewpoint - The article discusses the journey of Li Auto in developing its autonomous driving technology, highlighting the challenges faced and the strategic decisions made to shift from relying on suppliers to self-research and development. Group 1: Historical Context and Initial Challenges - In 2020, Li Auto sold 32,624 units of the Li ONE, significantly exceeding internal expectations, which were initially set at 3,000 units for the first year [2][6] - Despite the success, the company faced immediate pressure from competitors like NIO and Xpeng, who were launching new products and advanced autonomous driving features [4][6] - The internal celebration of sales success contrasted sharply with the external pressures of market competition and technological gaps [6][7] Group 2: Decision to Pursue In-House Development - The decision to pursue in-house development of autonomous driving technology was driven by the realization of dependency on suppliers and the need for greater control over technology [9][19] - Li Auto's leadership recognized the necessity of self-research to remain competitive, especially after observing advancements made by competitors [22][23] - The initial budget for autonomous driving research was limited, forcing the team to be resourceful and strategic in their approach [9][10] Group 3: Development Process and Key Milestones - The "Fortress Project" was initiated to develop Li Auto's first fully self-researched advanced driver assistance system, with a tight deadline of less than 100 days [27][30] - The team faced significant challenges, including high turnover and the need to recruit quickly to meet project demands [32][30] - The successful delivery of the autonomous driving system before the launch of the 2021 Li ONE marked a significant achievement for the company [34][44] Group 4: Data-Driven Approach and Technological Advancements - The establishment of a data closed-loop system named "Poseidon" was crucial for enhancing the efficiency of the autonomous driving development process [39][40] - The data-driven approach allowed the team to rapidly iterate and improve the autonomous driving features based on real-world data [41][42] - By the end of 2021, Li Auto achieved a delivery volume of 90,491 units, a 177.4% increase year-on-year, largely attributed to the new self-researched driving system [43][44] Group 5: Ongoing Challenges and Future Plans - The company faced ongoing challenges in keeping pace with competitors in the rapidly evolving autonomous driving market, particularly in urban navigation capabilities [51][52] - Li Auto's strategic pivot towards end-to-end development and the initiation of new projects like the "Golden Apple Plan" reflect its commitment to innovation and competitiveness [58][59] - The article concludes with anticipation for future developments in Li Auto's autonomous driving technology, emphasizing the need for continuous adaptation and strategic foresight [60]

Core Viewpoint - The article discusses the challenges and pressures faced by a leading automotive company's self-driving research team as they approach critical deadlines for developing advanced autonomous driving technologies, highlighting the competitive landscape and the importance of effective management in achieving technological advancements [6][8][14]. Group 1: Development Goals and Challenges - The self-driving research team of a leading automotive company has set ambitious internal goals to develop a no-map urban Navigation on Autopilot (NOA) by September 30 and an end-to-end system by December 30 [6]. - The company is currently lagging behind new entrants and leading autonomous driving firms by at least a year in terms of research and development progress [8]. - The pressure is high for the smart driving leaders, as failure to meet these deadlines could lead to accountability issues and organizational turmoil [7][8]. Group 2: Investment and Talent Acquisition - The company has significantly increased its investment in autonomous driving technology, surpassing that of some new entrants, and is willing to offer competitive salaries to attract top talent [9]. - Unlike some new entrants that offer compensation packages tied to stock performance, this leading company provides more cash to avoid fluctuations in employee compensation due to stock price volatility [9]. Group 3: Technical and Management Issues - Despite substantial investments, the company faces challenges in the end-to-end development process, particularly in data management, which is crucial for training models effectively [10]. - Traditional automotive companies often struggle with a lack of algorithmic expertise among their leadership, which affects their ability to manage and innovate in autonomous driving technology [13]. - The management approach in traditional firms tends to focus on coding output rather than the underlying algorithmic thought processes, which contributes to lower technical output compared to new entrants [14]. Group 4: Future Outlook and User Experience - The company plans to widely implement high-level urban NOA in numerous models next year, contingent on the success of its self-developed end-to-end system [15]. - The upcoming year is expected to be pivotal for end-to-end systems, as both new entrants and leading firms are achieving performance levels that meet consumer expectations [15]. - The emphasis will shift towards ensuring that the technology not only functions but also provides a satisfactory user experience, as performance differences among various end-to-end systems can significantly impact consumer perception [16].

Core Insights - The article discusses the monthly OTA (Over-The-Air) monitoring report released by the China Automobile Circulation Association and Guangzhou Weierbo Information Technology Co., Ltd, focusing on the trends and updates in the automotive industry regarding OTA upgrades [1]. Industry Overview - In June 2025, the industry updated a total of 463 features, a decrease from 498 in the previous month. The "assisted driving" module regained the top position in upgrade share, with urban NOA (Navigation on Autopilot) features accounting for approximately 30% of the upgrades [4]. - New force brands updated a total of 133 features in June 2025, down from 200 in the previous month. The competition in the intelligent driving sector reignited among various new force brands, while upgrades in voice assistants, navigation, and ecosystem applications were minimal [6]. - Domestic brands updated 269 features in June 2025, with 13 brands pushing OTA upgrades. The focus remained on enhancing intelligent cockpit experiences and ecosystem refinement, while the competition in assisted driving gradually warmed up [8]. - Joint venture and luxury brands updated 61 features in June 2025, a significant increase from 9 in the previous month. Notably, Nissan and Toyota launched their first OTA upgrades for locally developed new energy models [10]. OTA Iteration Speed - The report indicates a notable increase in the speed of OTA iterations across various brands, reflecting a growing emphasis on enhancing vehicle functionalities and user experiences [12]. OTA Operational Activities - Nissan held a significant OTA upgrade event for the N7 model on June 30, 2025, promoting the new features through various channels, including a live-streamed launch event [20][26]. - Post-OTA push, Nissan initiated long-term operational activities to encourage user engagement, including video contests and experience-sharing topics, focusing on automotive media platforms [27][31]. Upcoming OTA Upgrades - Several brands have scheduled OTA upgrades for various models in the upcoming months, including features like full-scene navigation and advanced driver assistance systems [30][32]. User Feedback - User feedback highlighted both satisfaction and areas for improvement regarding the new features, with specific mentions of the intelligent driving indicator and the overall experience of the upgraded functionalities [34][36][39][49].

Group 1 - The development of urban NOA (Navigation on Autopilot) is expected to reach a penetration rate of 15%, while highway NOA is projected to exceed 60% [4][5] - The vehicle camera market is experiencing simultaneous growth in both quantity and price, with accelerated domestic substitution [5][6] - Domestic manufacturers are emerging and restructuring the market landscape due to intensified competition within the industry [6] Group 2 - High temperatures are driving a new peak in electricity load, enhancing the value of flexible resources like thermal power [9] - The second quarter performance of thermal and hydropower sectors is anticipated to exceed expectations [10] - The energy structure transformation, coupled with deepening electricity reforms, is presenting clear opportunities for transition [11]

Core Insights - Intelligent assisted driving has become a focal point in the automotive industry, with a significant push towards "equal rights" in technology access and safety standards [1][3][5] - The recent "Xiaomi incident" has raised safety concerns, prompting the introduction of mandatory national standards for L2 level assisted driving systems [1][5] - The rapid increase in the penetration rate of urban NOA (Navigation on Autopilot) reflects a shift in market dynamics, with prices for such technologies decreasing significantly [2][3] Industry Trends - The penetration rate of urban NOA in vehicles priced between 200,000 to 250,000 yuan rose from 2.1% in January 2024 to 24.7% by October 2024, driven by decreasing prices [2] - As of December 2023, vehicles equipped with urban NOA are increasingly found in the 200,000 to 300,000 yuan price range, while high-speed NOA is penetrating the 150,000 to 200,000 yuan segment [2] - The industry anticipates that 2025 will be a pivotal year for urban NOA, with expectations for it to enter the mainstream market segment priced between 150,000 to 200,000 yuan [2] Safety and Technology Concerns - There is a growing consensus that achieving "equal rights" in intelligent driving must prioritize safety, with significant disparities in safety capabilities among vehicles in the same price range [3][5] - The current configuration differences in vehicles at the same price point can lead to substantial safety performance variations, with some models having up to six times the computing power and eight more sensors than others [5] - The push for widespread adoption of advanced driving technologies must not compromise safety, as highlighted by industry experts [4][5] Market Dynamics - The competition in the intelligent driving chip sector is intensifying, with established players like NVIDIA dominating the market, making it challenging for new entrants [8][9] - The industry is witnessing a shift where intelligent driving chip manufacturers and solution providers are becoming central players, potentially overshadowing traditional Tier 1 suppliers [7][8] - The trend towards "equal rights" in intelligent driving is expected to lead to standardization, which will benefit chip manufacturers by increasing shipment volumes and enhancing cost competitiveness [8][9] Future Outlook - Industry leaders predict that within 2 to 3 years, intelligent assisted driving features will become standard in vehicles priced above 100,000 yuan, with aspirations to extend this to lower-priced models [7] - The automotive industry is expected to see a consolidation of suppliers, with a few strong players emerging as leaders while maintaining a diverse market landscape [9] - The challenge for automakers will be to differentiate their brands in a market increasingly focused on standardized intelligent driving technologies [9]

Core Viewpoint - Chery is restructuring its autonomous driving business, integrating Dazhuo Intelligent into its R&D center, with a focus on enhancing its smart driving capabilities and achieving ambitious production targets by 2025 [2][3][4]. Group 1: Company Restructuring - Dazhuo Intelligent will be merged into Chery's R&D center in Shanghai, with CEO Gu Junli likely to leave the company [2]. - Zhang Xiaohong, previously from Huawei and NIO, will lead the smart driving R&D efforts at Chery [2]. - Chery's autonomous driving business will be unified under Gao Jiabing, who is currently an assistant general manager at Chery [2]. Group 2: Product Development and Goals - Dazhuo Intelligent aims to create a dual product matrix of ADAS and high-level L4 solutions, targeting a million-vehicle self-driving solution [2][3]. - Chery plans to launch L2-level assisted driving products in 2023, with a goal of mass production of high-speed NOA by 2024 and full-scene smart driving by 2025 [3]. - By 2025, Chery aims to have 1 million units of smart driving technology in both domestic and international markets [3]. Group 3: Strategic Challenges - Chery's production progress for Dazhuo Intelligent appears insufficient to meet its smart driving ambitions, leading to criticism from Chairman Yin Tongyue regarding the pace of development [4]. - The company is increasingly relying on external suppliers for smart driving solutions, collaborating with firms like Huawei, Alibaba, and Horizon Robotics [5][6]. - Chery has accelerated partnerships with external suppliers, including a $100 million strategic investment in Qingzhou Zhihang for mid-to-low-end smart driving solutions [5].

Group 1: Core Viewpoints - The article discusses the rapid development and potential of intelligent driving technology, highlighting its transformative impact on urban mobility and the automotive industry [1][2][3]. Group 2: Technology Engine Behind Intelligent Driving - The end-to-end architecture is a significant innovation in intelligent driving, reducing data annotation difficulty and optimizing data processing through unique algorithms, which enhances vehicle responsiveness to road conditions [2][3]. - The introduction of visual language models and cloud models improves the system's ability to handle complex scenarios, akin to equipping vehicles with sharper "eyes" [3]. Group 3: Current Development of Intelligent Driving - The high-speed Navigation on Autopilot (NOA) feature is expected to be scaled up in 2024, becoming a standard for intelligent driving vehicles priced above 200,000 yuan [5]. - The penetration rate of urban NOA is projected to reach 6.5% in 2024, driven by increased consumer acceptance and reduced costs, expanding its availability to more consumers [7]. Group 4: Business Model of Intelligent Driving - The L2++ intelligent driving software faces challenges in charging fees due to low consumer willingness to pay, leading most automakers to standardize systems to accumulate users and data [11]. - Some leading automakers are exploring buyout or subscription payment models, with promotional activities to attract customers [11][12]. Group 5: Benefits of Urban NOA - Urban NOA is expected to drive sales of high-configured, high-margin models, as consumers are likely to prefer higher-end vehicles once the technology gains market acceptance [13][14]. - The overlap in technology requirements between Robotaxi and urban NOA is anticipated to enhance intelligent driving system capabilities, potentially leading to a shift towards mobility services by 2025 [15]. Group 6: Globalization of Intelligent Driving Industry - China's late start in intelligent driving is countered by rapid development, with domestic companies gaining advantages in technology and production experience, positioning them favorably in the global market [16]. - Collaborations between joint venture automakers and domestic intelligent driving companies are expected to facilitate access to international projects and opportunities for global expansion [16][17].

Group 1 - Canalys' latest report predicts that the penetration rate of L2 and above functions in the Chinese market will reach 62% by 2025, significantly increasing compared to 2024 [1] - High-speed NOA and urban NOA are expected to reach 10.8% and 9.9% respectively [1] - It is anticipated that from 2027 to 2028, the growth rate of urban NOA will surpass that of high-speed NOA, leading to a rapid evolution of market structure and reshaping the SoC competitive landscape [1]