Core Viewpoint - The article emphasizes the establishment of a comprehensive community for autonomous driving, aiming to gather industry professionals and facilitate rapid responses to challenges, with a target of building a community of 10,000 members within three years [2]. Group 1: Community Development - The community aims to integrate academic research, product development, and recruitment, creating a closed-loop system for education and technical discussions [2][5]. - It has already attracted notable figures from the industry, including talents from Huawei and leading researchers in autonomous driving [2]. - The community will provide resources such as video courses, hardware, and practical coding experiences related to autonomous driving [2][3]. Group 2: Learning Resources - A structured learning roadmap is available, covering essential topics for newcomers, including how to ask questions and access weekly Q&A sessions [3][4]. - The community offers a variety of courses on foundational topics like deep learning, computer vision, and advanced algorithms in autonomous driving [4][21]. - Members can access exclusive content, including over 5,000 resources and discounts on paid courses [19][21]. Group 3: Industry Engagement - The community collaborates with numerous companies in the autonomous driving sector, providing direct recruitment channels and job postings [5][6]. - It aims to connect students and professionals with industry leaders, enhancing networking opportunities and knowledge sharing [5][6]. - The community is positioned as a hub for both academic and industrial advancements in autonomous driving technology [12][14]. Group 4: Technological Focus - The article highlights the rapid evolution of technology in autonomous driving, with a focus on end-to-end systems and the integration of large models [7][24]. - Key areas of interest include visual language models, world models, and closed-loop simulations, which are critical for the future of autonomous driving [7][24]. - The community plans to host live sessions with experts from top conferences to discuss practical applications and research advancements [23][24].

Investment Rating - The report assigns an "In-Line" investment rating for the China Autos industry [3]. Core Insights - The report forecasts 28.3 million units of passenger vehicle (PV) sales in China for 2025, representing a 3% year-over-year increase, and 14.9 million units of new energy vehicle (NEV) sales, which is a 22% year-over-year increase [9][10]. - The penetration of L2+ autonomous driving is expected to reach 25% in 2025, up from a previous estimate of 15% [15][17]. - The wholesale NEV penetration reached 50% in June 2025, indicating a significant shift towards electric vehicles [20]. - The report highlights the increasing competition in the EV market, with local brands gaining market share from foreign brands [43][48]. Market Overview - The China auto industry is projected to see a total of 28.3 million PV sales in 2025, with a breakdown of 22.6 million domestic sales and 5.7 million exports [9]. - NEV sales are expected to grow significantly, with battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) contributing to this growth [9]. - The report notes that Asia and Europe accounted for over 65% of China's vehicle exports in the year-to-date 2025 [51]. Competitive Landscape - The report discusses the intensifying competition in the EV market, particularly from tech heavyweights collaborating with local OEMs to develop smart EVs [43][45]. - Local brands are continuing to gain share from foreign brands, with a notable increase in market share for brands like BYD and Geely [48]. - The report emphasizes the importance of collaborations among OEMs to enhance innovation and reduce costs in vehicle development [64][67]. Future Trends - The report identifies key focuses for auto OEMs, including AI-enabled smart cockpits, autonomous vehicles, and eVTOLs [70]. - It also highlights the ongoing development of autonomous driving capabilities, with several companies advancing their technologies to achieve higher levels of automation [73][75].

Investment Rating - The report maintains a "Buy" rating for Horizon Robotics with a 12-month price target of HK$13.33, indicating an upside potential of 106.0% from the current price of HK$6.47 [11]. Core Insights - The management is optimistic about the growth of autonomous driving (AD) and advanced driver-assistance systems (ADAS) in China, particularly with local car OEMs pushing for urban Navigate on Autopilot features in the mainstream price segment of Rmb150,000 (approximately US$21,000) [2][3]. - Horizon Robotics is focusing on product mix upgrades from ADAS to AD, which is expected to drive an increase in average selling price (ASP) due to enhanced computing power [3]. - The company is committed to increasing its R&D investments, particularly in developing integrated software-hardware solutions, which will allow it to charge software fees based on car shipments rather than project-based fees [7]. Summary by Sections 1. Market Outlook - The total addressable market (TAM) for AD and ADAS is growing, with management highlighting the competitive landscape among local car OEMs as a key driver for increased demand [2]. - The Journey 6 product is identified as a significant driver for shipment increases in the AD solutions segment [2]. 2. Product Development - The transition from ADAS products (e.g., Journey 2 and 3) to more advanced AD products (e.g., Journey 6) is expected to enhance ASP due to the substantial increase in computing power from 4-5 TOPS to 560 TOPS [3]. - Future plans include the development of a higher computing power J7 platform, estimated at around 2000 TOPS, to meet the growing demand for advanced features [3]. 3. R&D Commitment - Horizon Robotics is allocating more resources to R&D, particularly in cloud computing, to develop stronger algorithms and enhance its software-hardware integration [7]. - The company aims to penetrate the majority of car OEMs in China that lack in-house algorithms for advanced ADAS/AD features [7]. 4. Strategic Partnerships - The joint venture with Volkswagen, Carizon, is expected to yield its first car model by the end of 2025, with management anticipating a significant share of Volkswagen's car models in the China market [8].

Expansion Plans - Tesla is expanding its robotaxi service beyond Texas, with plans to increase the service area in Austin and potentially launch in the San Francisco Bay Area within one to two months, pending regulatory approval [1] - The company has applied for certifications to operate and test autonomous vehicles in the Phoenix Metro area, with a decision expected by the end of July [2][3] Regulatory Landscape - In California, Tesla must apply for permits with the Department of Motor Vehicles and the California Public Utilities Commission (CPUC) to test autonomous vehicles, which is more stringent than Texas regulations [9][10] - Tesla currently holds a transportation charter permit from the CPUC, allowing it to provide a transportation service for its employees but not to operate like Uber or Lyft [11] Current Operations - Tesla's robotaxi service in Austin is limited to 10 to 20 Model Ys with safety operators present [3] - As of now, Tesla has not applied for permits to test or deploy vehicles without safety drivers, which limits its ability to fully launch the robotaxi service [12][13] Investor Sentiment - The expansion news has generated optimism among investors, indicating that Tesla's stock may increasingly depend on its progress in autonomy rather than vehicle deliveries [14] - The current phase of the robotaxi service is seen as a shift from an experimental stage to a more business-oriented approach [15] Competitive Landscape - Tesla's expansion efforts are viewed as a necessary response to competitors like Waymo, which has already deployed over 1,500 robotaxis in multiple U.S. cities [4][16] - The term "minimum viable autonomy theater" has been used to describe Tesla's current strategy, suggesting that the company is executing the bare minimum to maintain the perception of progress in the autonomous vehicle space [16][17]

Core Insights - In 2024, Tesla, Inc. is at a pivotal point to decide its growth trajectory, particularly focusing on the development of the anticipated $25,000 "Model 2," an affordable electric vehicle that has been speculated for nearly six months [1] Group 1 - Tesla is considering the launch of the "Model 2," which aims to cater to a broader market segment by offering a more affordable electric vehicle option [1]

Financial Performance & Guidance - 2018年公司收入为18.34亿美元[13] - 2018年资本支出为8600万美元[13] - 2018年公司回购股份总额为5.916亿美元[17] - 预计2019年收入在18.7亿美元至19亿美元之间[18] - 预计2019年资本支出在9000万美元至1亿美元之间[18] - 预计2020年收入增长将在2019年的基础上增长3-8%[22] Product Performance - 2018年全球车内自动防眩目后视镜（IEC）的渗透率为31.3%[11] - 2018年全球车外自动防眩目后视镜（OEC）的渗透率为12.6%[11] - 2018年IEC出货量为2965.1万个，同比增长5%[11] - 2018年OEC出货量为1195.4万个，同比增长9%[11]

RT Sergio Rodriguez (Blue Checkmark) (@LyftGyft)Giving FSD credit, was using it today. As several other vehicles continued on with their drive, FSD stopped for a pedestrian that waiting to cross. The man had a cane and was waiting patiently. There was a visible crosswalk, yet the other motorist did not stop. Pretty cool to see this situational awareness. The vehicle behind me wasn’t happy, his honking was indicative of their displeasure. (The bounce of the front end, lets me know he had a hard stop) ...

Core Viewpoint - China Automotive Systems, Inc. has successfully launched its L2+ standard electro-hydraulic steering system into mass production, achieving record new orders in July, indicating strong demand in the power steering industry [1][2]. Group 1: Product Development and Production - The second-generation iRCB (intelligent electro-hydraulic circulating ball power steering) has entered mass production in China, completing the design and verification process in just 8 months since its launch in September 2024 [2]. - The iRCB system is the first in China compatible with L2+ assisted driving, utilizing advanced electro-hydraulic control technology to enhance steering accuracy and response speed [3]. Group 2: Economic Impact - The iRCB system is projected to reduce operational costs by nearly RMB 36,000 per vehicle annually, providing significant economic benefits to users [3]. Group 3: Company Strategy and Market Position - The CEO of CAAS emphasized the company's commitment to pioneering proprietary steering technologies, aiming to set new sales records for intelligent driving systems in China in 2025 due to superior performance and cost efficiencies [4]. - CAAS operates through sixteen Sino-foreign joint ventures and wholly owned subsidiaries, offering a comprehensive range of steering system parts for both passenger and commercial vehicles, with an annual production capacity exceeding 8 million sets [5].

来自加州大学河滨分校（UC Riverside）、密歇根大学（University of Michigan）、威斯康星大学麦迪逊分校（University of Wisconsin–Madison）、 德州农工大学（Texas A&M University）的团队在 ICCV 2025 发表首个面向自动驾驶语义占用栅格构造或预测任务的统一基准框架 UniOcc。 UniOcc 融合真实世界（nuScenes、Waymo）与仿真环境（CARLA、OpenCOOD）的多源数据，统一体素（voxel）格式与语义（semantic）标签，首 次引入体素级前后向运动流标注，并支持多车协同占位预测与推理。为摆脱伪标签（pseudo-label）评估限制，UniOcc 设计了多项免真值（ground- truth-free）指标，用于衡量物体形状合理性与时序一致性。在多个 SOTA 模型上验证了其在运动流信息利用、跨域泛化和协同预测方面的显著优势。 UniOcc 已全面开源，支持占位预测、长时序预测、动态追踪等多种任务，致力于构建标准化的感知研究平台，推动自动驾驶迈向多模态、泛化能力 更强的新阶段。 论 文标题：UniOc ...

Core Viewpoint - The article discusses the current trends and opportunities in the fields of autonomous driving and embodied intelligence, emphasizing the need for strong technical skills and knowledge in cutting-edge technologies for job seekers in these areas [3][4]. Group 1: Job Market Insights - The job market for autonomous driving and embodied intelligence is competitive, with a high demand for candidates with strong backgrounds and technical skills [2][3]. - Companies are increasingly looking for expertise in advanced areas such as end-to-end models, visual language models (VLM), and reinforcement learning [3][4]. - There is a saturation of talent in traditional robotics, but many startups in the robotics sector are rapidly growing and attracting significant funding [3][4]. Group 2: Learning and Development - The article encourages individuals to enhance their technical skills, particularly in areas like SLAM (Simultaneous Localization and Mapping) and ROS (Robot Operating System), which are relevant to robotics and embodied intelligence [3][4]. - A community platform is mentioned that offers resources such as video courses, hardware learning materials, and job information, aiming to build a large network of professionals in intelligent driving and embodied intelligence [5]. Group 3: Technical Trends - The article highlights four major technical directions in the industry: visual language models, world models, diffusion models, and end-to-end autonomous driving [8]. - It provides links to various resources and papers related to these technologies, indicating a focus on the latest advancements and applications in the field [9][10].