11月27日，鸿蒙智能汽车技术生态联盟官方微博发帖称：近期，我们识别到互联网上出现了大量对鸿蒙智行的集中攻击，其内容罔顾事实、移花接木、张冠 李戴、自导自演、哗众取宠、漏洞百出，不仅内容观点偏离主流价值观，且目的险恶手段恶劣，挑战了社会道德底线、破坏了网络清朗环境。 本文系观察者网独家稿件，未经授权，不得转载。 据国家网信办网站9月10日消息，工业和信息化部等六部门已联合部署开展汽车行业网络乱象专项整治行动。本次专项整治行动将集中整治非法牟利、夸大 和虚假宣传、恶意诋毁攻击等网络乱象，提升涉汽车企业网络乱象处置质效，督促企业规范营销宣传行为，营造良好舆论环境，护航汽车产业高质量发展。 重点整治问题主要包括非法牟利问题、夸大和虚假宣传问题、恶意诋毁攻击问题。 该官微还表示，鸿蒙智行已充分收集证据，对涉嫌造谣、抹黑的相关组织和人员，坚决追究到底！ ...

Core Viewpoint - The automotive industry is undergoing a technological transformation, with software increasingly adding value, and Huawei's QianKun is positioned to lead this change by creating an intelligent and open automotive platform [1][5][9] Group 1: Achievements and Market Position - Huawei QianKun's monthly sales have surpassed 100,000 units, with over 20 million uses of the parking-to-parking feature and an active user rate of 95.2% for assisted driving [1] - In the first nine months of this year, Huawei QianKun achieved sales of 452,000 units, capturing a market share of 27.8%, which is greater than the combined total of the second and third competitors [5] - Predictions indicate that Huawei QianKun will achieve annual profitability in 2024, with a revenue growth of 474.4%, potentially exceeding 60 billion yuan in revenue and 12 billion yuan in profit within 1-3 years [7] Group 2: Business Model and Collaboration - Huawei QianKun's business model emphasizes an open ecosystem, collaborating with 15 leading automotive companies and covering 1 million units across 35 models, including partnerships with brands like Audi [9][11] - The collaboration with various automotive manufacturers is seen as a means to quickly acquire mature solutions and reduce R&D costs, establishing Huawei QianKun as a preferred supplier [11] Group 3: Technological Advancements - Huawei QianKun has developed a robust technological moat through its fully self-developed technology, achieving high scores in critical tests for features like AEB and parking assistance [12] - The latest ADS 4 system features significant upgrades, including a 50% reduction in end-to-end latency and a 20% increase in traffic efficiency, showcasing Huawei's commitment to safety and performance [13][15] Group 4: Industry Impact and Future Outlook - Huawei QianKun's rapid growth is not just a corporate event but signifies a broader industry transformation, marking China's shift from following to leading in automotive technology [15] - The company aims to establish itself as the leading brand in automotive intelligence, with a successful transition from backend operations to a prominent market presence [15]

Core Insights - The research conducted by J.D. Power, Tongji University HVR Lab, and XAI Lab reveals that the average score for smart cockpit models in 2025 is 622 points out of 1000, with some models nearing 700 points, showcasing excellence in HMI multimodal interaction and AI capabilities [1][3] Group 1: Research Methodology - The 2025 China Smart Cockpit Research employs an innovation index scoring model, divided into HMI performance index (50%) and AI performance index (50%), ensuring comprehensive and accurate assessments through user satisfaction scores [3] - The study indicates a shift in smart cockpit development from "digital redundancy" to "pragmatism," focusing on the depth of user experience rather than the breadth of functions [3] Group 2: User Interaction Preferences - User interaction is returning to a rational balance, with touch controls remaining dominant (importance mean 4.17/5) while the demand for physical buttons is nearly as strong (4.11/5), indicating a need for a stable balance between touch, physical buttons, and multimodal collaboration [4] - The application ecosystem is perceived as more tool-oriented than social, with users prioritizing functionalities like "charging services" (importance mean 4.23/5) and "vehicle health management" (importance mean 4.24/5) over social interaction [4] Group 3: AI Functionality and User Expectations - AI experiences are shifting from "showy" to "trustworthy," with users valuing AI functionalities that enhance travel efficiency and safety, such as "smart traffic navigation" (importance mean 4.27/5) and "health monitoring" (importance mean 4.22/5) [5] - Concerns about reliability and safety have led 56.5% of users to reduce their use of AI vehicle control functions, highlighting the need for the industry to improve AI capabilities in complex scenarios [5] Group 4: Competitive Landscape - Data quality and scenario definition are becoming core competitive advantages as the industry faces functional homogenization, shifting competition from "model scale" to "data quality, scenario granularity, and depth of adaptation" [6] - The depth of user experience is emerging as a key factor in purchasing decisions, with increased willingness to pay for comfort features like smart seats and audio systems, indicating a transition from passive tools to proactive cognitive partners in smart vehicles [6]

Core Insights - The report indicates that by 2025, the focus of smart cockpit competition will shift from "breadth of functionality" to "depth of experience," moving from "digital redundancy" to "pragmatism" [1] Group 1: Evolution of Smart Cockpits - The early "functional cockpit" centered around rich online services, while the subsequent "perceptual cockpit" integrated multi-modal interaction and perception technologies for natural interaction and task automation [1] - The industry has now entered the "cognitive cockpit" phase, enabled by the deep application of large model technology, which allows for precise understanding of user behavior and preferences, leading to proactive personalized service delivery [1] Group 2: Interaction Design - Touch controls remain mainstream, but there is a nearly equal demand for physical buttons, with 25.3% of users viewing the lack of dedicated buttons for common functions as an interaction flaw, indicating the irreplaceable nature of physical feedback in high-pressure driving scenarios [2] - Future interaction design must find a stable balance between touch, physical buttons, and multi-modal collaboration [2] Group 3: Application Ecosystem - Although 80.2% of users frequently use automotive apps, their needs are primarily tool-oriented, with "charging services" and "vehicle health management" significantly outpacing "social interaction" and "marketplace services" [3] - There is a misalignment between automakers' direction to develop apps as social platforms and users' demand for immediate utility, suggesting that ecosystem development should focus on essential scenarios [3] Group 4: AI Experience - Users currently prioritize AI functions that enhance travel efficiency and safety, such as "smart traffic navigation" and "health monitoring," with 56.5% reducing AI vehicle control usage due to reliability and safety concerns [4] - The industry needs to overcome challenges in complex scenarios, multi-modal collaboration, and intent correction to transition AI from "showcase intelligence" to "stable and trustworthy intelligence" [4] Group 5: Competitive Landscape - As large model capabilities become widespread, the industry is experiencing a trend of functional homogenization, shifting competition from "model scale" to "data quality, scene granularity, and depth adaptation" [5] - Automakers must build an integrated capability of "scene-data-model" to achieve differentiated experiences in real-world usage scenarios, with user willingness to pay for comfort features like smart seats and audio systems increasing [5] - The interaction paradigm of smart vehicles is rapidly transitioning from "passive response tools" to "proactive cognitive partners," integrating sensor data, user habits, and contextual needs to anticipate and provide services [5]

Core Insights - The strategic partnership between Avita and Huawei has entered a new phase, focusing on comprehensive collaboration across various fields [1][3] - Avita has paid a total of 11.5 billion yuan to Huawei, acquiring a 10% stake in Huawei's subsidiary, marking it as the most deeply integrated automotive partner with Huawei [5][7] - The collaboration will see the launch of 17 new products by 2030, including sedans, SUVs, and MPVs, with a synchronized product development cycle [5][9] Group 1 - Avita and Huawei are expanding their cooperation from the HI model to the HI PLUS model, covering user insights, product definition, development, integrated marketing, and team building [3][5] - Avita's entire vehicle lineup is now available on the Huawei Kun APP, and they have established a benchmark store for Huawei Kun, aiming to upgrade existing channels [5][7] - Avita has delivered 4,000 vehicles to Huawei employees, reflecting the deepening strategic trust and organizational collaboration between the two companies [7][9] Group 2 - The partnership is characterized by a unified approach, with both companies sharing a common goal and strategy to create a new path for smart automotive collaboration in China [9]

Core Viewpoint - Li Auto announced the launch event for its AI glasses, Livis, scheduled for December 3 at 19:30 [1] Company Summary - Li Auto is set to unveil its AI glasses, indicating a potential expansion into wearable technology [1]

Core Insights - The intelligent automotive industry in China has entered the AI Driving 2.0 phase, with accelerated technological iteration [1] - The VLA (Vision-Language-Action) technology architecture, represented by companies like Li Auto and Yuanrong Qihang, breaks the limitations of traditional end-to-end models by integrating three modalities to enhance system interactivity and long-term reasoning capabilities [1] - The industry is transitioning from rule-driven to data-driven approaches, although there are still concerns regarding technological pathways, investment returns, and policy implementation risks [1] Industry Developments - Huawei's ADS 4.0 adopts the WEWA architecture, emphasizing cloud simulation and vehicle model collaboration to create a direct cognitive model of the physical world, enabling rapid response and high safety redundancy [1] - Horizon Robotics and Momenta focus on one-stage end-to-end systems combined with reinforcement learning to enhance the human-like experience of intelligent driving systems [1] Investment Opportunities - The Intelligent Automotive ETF (159889) tracks the CS Intelligent Automotive Index (930721), which selects representative listed companies in the intelligent driving and vehicle networking sectors from the A-share market [1] - The index aims to reflect the overall performance of securities related to intelligent automotive companies, showcasing the industry's diversity and broad characteristics [1]

Core Viewpoint - The company Boleton (01333) has launched the world's first truly driverless electric mining truck, the Boleton 9M145E, marking a significant advancement in autonomous mining technology [1] Group 1: Product Launch - On November 21, Boleton held a launch event for the Boleton 9M145E at its Wuhan factory, showcasing the new driverless mining truck [1] - The Boleton 9M145E features a completely driverless design and is ready for production immediately upon rollout, indicating a shift from theoretical capabilities to practical implementation in autonomous driving [1] Group 2: Technological Advancements - The new mining truck is equipped with Boleton's self-developed E2E intelligent driving system, which has been validated through multiple mining site tests [1] - The efficiency of the Boleton 9M145E surpasses that of human-operated trucks, providing greater commercial value for driverless operations [1] Group 3: Operational Efficiency - The E2E intelligent driving system enables safe and stable operation throughout the entire process of loading, transporting, and unloading, achieving efficiency levels comparable to or exceeding human performance [1] - The introduction of the Boleton 9M145E is expected to significantly reduce operational costs for mining companies [1]

Core Viewpoint - The company, Boleton (01333), has launched the world's first truly autonomous electric mining truck, the Boleton 9M145E, marking a significant advancement in the transition from "feasible" to "fully operational" autonomous driving in mining [1] Group 1: Product Launch - On November 21, Boleton held a launch event for the Boleton 9M145E at its Wuhan factory, showcasing the new truck equipped with the company's self-developed E2E intelligent driving system [1] - The new model features a driverless design and is ready for production immediately upon rollout, eliminating the need for a human driving cabin [1] Group 2: Technological Advancements - The Boleton 9M145E represents a comprehensive iteration over its predecessor, enhancing efficiency and commercial viability of autonomous driving in mining operations [1] - The self-developed E2E intelligent driving system has been validated through practical tests in multiple mining areas, ensuring safe and stable operation throughout the loading, transportation, and unloading processes [1] Group 3: Economic Impact - The operational efficiency of the new autonomous mining truck matches or exceeds that of human-operated trucks, leading to a significant reduction in operational costs [1]

Core Viewpoint - The article highlights the emergence of "smart driving gadgets" that undermine vehicle safety by circumventing driver monitoring systems, raising concerns about road safety and regulatory responses [1][5]. Group 1: Product Overview - "Smart driving gadgets" are being sold under various names like "smart driving companion" and "steering wheel decoration," allowing users to bypass safety features [3][4]. - These products include two main types: capacitive straps for brands like AITO and Xiaomi, and weighted rings for brands like BYD and Tesla [3][4]. Group 2: Regulatory Response - A draft national standard titled "Motor Vehicle Operation Safety Technical Conditions" has been proposed, aiming to enhance safety requirements for driver monitoring systems [1][5]. - The effectiveness of this regulation is questioned, as these gadgets continue to be sold online despite the impending regulations [5]. Group 3: Responsibility and Liability - Sellers of "smart driving gadgets" may face civil liability for promoting products that circumvent vehicle safety systems, potentially leading to indirect infringement if accidents occur [8][9]. - E-commerce platforms could also bear joint liability if they fail to monitor and regulate the sale of these illegal products [9]. Group 4: Technical Insights - Current vehicle technology relies on torque sensors and capacitive sensors to detect driver engagement, which these gadgets can deceive [4][11]. - The proliferation of these gadgets is partly due to consumer misconceptions about the capabilities of Level 2 (L2) autonomous driving systems, which are often misrepresented by manufacturers [11][12]. Group 5: Recommendations for Improvement - To combat the issue, a multi-faceted approach is suggested, including the use of AI for monitoring sales, stricter regulations on production, and enhanced consumer education [12].