（文章来源：证券日报） 证券日报网讯四维图新10月9日在互动平台回答投资者提问时表示，公司的高精度地图、数据合规和六 分科技的高精度定位可应用于Robotaxi、无人物流车等众多无人化场景，目前已和小马智行与无人物流 的头部创业公司达成合作。 ...

四维图新（002405.SZ）10月9日在投资者互动平台表示，公司的高精度地图、数据合规和六分科技的高 精度定位可应用于Robotaxi、无人物流车等众多无人化场景，目前已和小马智行与无人物流的头部创业 公司达成合作。 （文章来源：每日经济新闻） 每经AI快讯，有投资者在投资者互动平台提问：贵司投资了祐驾，和滴滴以及如祺出行都有较深的合 作关系，近几年Robotaxi发展如火如荼，四维作为该方向的深度参与者，是否在该方向实现营收和利润 新的增长？ ...

Core Viewpoint - Beijing Siwei Tuxin Technology Co., Ltd. (hereinafter referred to as "Siwei Tuxin") is planning to optimize its strategic layout and resource allocation by engaging in external investment activities, specifically participating in a new round of financing for PhiGent Robotics Limited [1] Group 1: Investment and Strategic Moves - Siwei Tuxin intends to participate in the financing of PhiGent Robotics Limited using cash and assets, aiming to integrate their intelligent driving businesses to provide comprehensive solutions to automotive enterprises [1] - The transaction is still in the planning stage, and further verification and negotiation are required, indicating uncertainty in the deal [1] Group 2: Company Background and Performance - PhiGent Robotics Limited is the parent company of Beijing Jianzhih Technology Co., Ltd., which specializes in high-level intelligent driving software algorithms for automotive companies [1] - Siwei Tuxin is a provider of intelligent automotive solutions, with a full-stack technology ecosystem covering high-precision maps, in-vehicle chips, intelligent driving, intelligent cockpits, and integrated vehicle-road-cloud solutions [1] - In the first half of 2025, Siwei Tuxin achieved revenue of 1.761 billion yuan, a year-on-year increase of 5.62%, while the net profit attributable to the parent company narrowed its losses, indicating significant improvement in operational efficiency [1]

Core Insights - The article highlights the advancements in high-precision mapping technology for autonomous vehicles in Beijing's Yizhuang area, emphasizing its critical role in enhancing the safety and efficiency of autonomous driving [1][10]. Group 1: High-Precision Mapping - High-precision maps serve as a primary resource for autonomous vehicles, providing centimeter-level accuracy and detailed information about road conditions, traffic signs, and environmental features [3][5]. - The development of a lightweight mapping standard has enabled the creation of a high-precision map covering 600 square kilometers in the demonstration area, addressing industry pain points related to production costs and update speeds [5][3]. Group 2: Cost and Update Challenges - The high costs associated with data collection, processing, and map production pose significant challenges for the high-precision mapping industry [5]. - The demonstration area is exploring a crowdsourced updating method that integrates data from vehicles, roads, and cloud systems to enhance map accuracy and reduce costs [5][6]. Group 3: Safety and Security Measures - The demonstration area prioritizes safety by upgrading the vehicle-road-cloud system and implementing secure data transmission protocols [8][9]. - A management model has been established to ensure the high-precision map data is manageable, controllable, traceable, and preventable, promoting compliance in the crowdsourced updating process [8][9]. Group 4: Industry Growth and Impact - The Yizhuang area has become a hub for over 20 unicorns and potential companies in the autonomous driving sector, with more than 1,100 autonomous vehicles and over 41 million kilometers of cumulative road testing [9][10]. - The integration of high-precision maps with autonomous driving technology is seen as a key factor in shaping the future of transportation, enhancing both safety and efficiency [10].

Core Insights - The company reported a revenue of 1.761 billion yuan for the first half of 2025, marking a year-on-year growth of 5.62% [1] - The company has made significant advancements in multiple business areas, including intelligent cloud, intelligent driving, intelligent cockpit, and intelligent chip sectors [1] Intelligent Cloud Business - The intelligent cloud business achieved a revenue of 1.265 billion yuan, reflecting a year-on-year increase of 24.42% with a gross margin improvement of 1.13 percentage points to 37.73% [3] - The company is actively involved in various "vehicle-road-cloud integration" pilot projects, leveraging over 20 years of map data accumulation and cloud service capabilities [2][3] - Collaborations with partners like Tianan Zhili to advance high-precision dynamic map construction in Wuxi are notable achievements [2] Intelligent Chip Business - The intelligent chip business recorded a revenue of 259 million yuan, showing a year-on-year growth of 2.48% [4] - The company has shipped over 300 million chips, including 90 million SoC and 80 million MCU units, which are integrated into various vehicle models [4] - The introduction of new MCU chips, such as the AC7870, demonstrates the company's commitment to innovation and market expansion [4] Intelligent Driving and Cockpit Business - The intelligent driving business has made substantial progress in technology breakthroughs and customer deliveries, with ongoing projects for key clients like Great Wall and BAIC [5][6] - The launch of the AI Infrastructure as a Service aims to provide comprehensive support for the entire intelligent driving development chain, successfully securing orders from major automotive clients [6] - The intelligent cockpit sector continues to innovate with a focus on integrated software and hardware solutions, achieving significant market expansion [6] Overall Strategy and Future Outlook - The company is transitioning from a single technology supplier to a "new Tier 1" player, emphasizing data ecosystem integration and agile delivery capabilities [6] - Future initiatives aim to evolve assisted driving from a premium option to a standard feature across the automotive industry, supporting the overall smart transformation of the sector [6]

Summary of the Conference Call for Siwei Tuxin Company Overview - **Company**: Siwei Tuxin - **Period**: First half of 2025 - **Revenue**: 1.76 billion CNY, a year-on-year increase of approximately 6% [2][5][14] - **Net Profit**: Loss of 310 million CNY, but continuous reduction in losses and optimization of operational quality [5][14] Key Business Segments Intelligent Cloud Segment - **Revenue**: 1.265 billion CNY, a year-on-year increase of nearly 25% [2][5] - **Drivers**: Growth driven by the large-scale implementation of high-level intelligent driving, leading to an exponential increase in data volume [2][6] Mapping Business - **Performance**: Critical role in intelligent driving, effectively addressing complex navigation challenges [7] - **Strategy**: Introduction of diversified high-precision data sources to reduce costs and enhance product competitiveness [7] Intelligent Cockpit Business - **Progress**: Clear technological path from basic driving solutions to integrated cockpit solutions [8] - **Products**: Launched L2 basic driving solutions for Great Wall Motors and received orders for integrated solutions based on Qualcomm 8,155 chips [8] Industry Trends - **Intelligent Driving**: Rapid development with L3 level automation entering commercialization, with several automakers launching mass-produced models [4] - **Market Penetration**: L2+ intelligent driving penetration in mid-to-low-end models increased from 14% to nearly 30% [4] - **Technological Drivers**: AI large models are key to upgrading intelligent driving capabilities, enhancing performance in complex scenarios [4] Technological Innovations - **User Needs**: Innovations such as parking memory functions and natural language vehicle control systems to enhance customer experience [9] - **New Solutions**: Introduction of a new generation of parking solutions based on Horizon Gou6B chips, expected to enter mass production in 2026 [9] Chip Development - **SoC and MCU Progress**: Significant advancements in SoC and MCU chip fields, with cumulative shipments of SoC chips reaching 90 million sets [12] - **Market Position**: SoC chips dominate the domestic market with over 95% coverage [12] Strategic Partnerships - **Collaborations**: Strategic agreement with Alibaba Cloud to build data closed loops in assisted driving and other fields [3][13] - **Industry Synergy**: Strengthened collaboration with companies like Volcano Engine and DJI to enhance industrial synergy [3][13] Financial Performance and Challenges - **Revenue Growth**: Intelligent cloud segment grew by 24%, while chip business saw a 2% increase [14] - **Cost Management**: Implemented cost reduction strategies to improve operational efficiency amid increasing market competition [15] Future Outlook - **Market Dynamics**: Anticipated that the current price decline in the industry will not last long, with many companies expected to exit the market due to unsustainable operations [20] - **Data Compliance Growth**: Data compliance business has seen significant growth due to the rapid adoption of intelligent driving, with a shift towards vehicle-end SDK software sales [23] Conclusion - **Investment Potential**: Siwei Tuxin is positioned to leverage its technological advancements and strategic partnerships to navigate market challenges and capitalize on growth opportunities in the intelligent driving and chip sectors.

Group 1 - The core driving force for high-quality development in national economic and technological development zones is the cultivation of new quality productive forces, with Anqing Economic and Technological Development Zone focusing on technological innovation and the integration of digital and real economies [1] - Anqing Economic and Technological Development Zone is accelerating the layout of future industries to seize new development opportunities, establishing a dual-wing structure to support the rise of new quality productive forces [1] Group 2 - Huanxin Group is a leader in the integration of digital economy and real economy, promoting the transformation of "Industrial Internet + Intelligent Manufacturing" to enhance its advanced productivity and empower the automotive industry chain [2] - Huanxin Group has developed a full-stack industrial internet system that enables millisecond-level response to production data and collaboration across the entire industry chain, providing solutions in five areas including supply chain collaboration and energy management [2][3] - The company has implemented energy management optimizations that have saved 6 million yuan annually in energy costs for one of its factories by optimizing air compressor operations [3] Group 3 - Anqing Economic and Technological Development Zone is actively cultivating future industry growth poles, with companies like Guoqi Dayou Time-Space Technology showcasing advanced products such as intelligent driving simulation systems that utilize high-precision satellite data [4] - The integration of high-precision satellite positioning and mapping is essential for low-altitude economy and urban governance, providing flexible solutions for issues like shared bicycle parking [5][4] - Guoqi Dayou has established strong partnerships with major universities and research institutions, leading to the formation of several innovation centers and a consistent annual business growth, with projected revenue of over 80 million yuan in 2024 [6]

Core Viewpoint - Japanese automakers are forming alliances to develop AI and autonomous driving technologies, supported by government subsidies and policies aimed at strengthening the domestic supply chain [2][3][4]. Group 1: Government Support and Policy Direction - The Japanese government has been promoting the development of "software-defined vehicles" (SDV) and emphasizes AI-driven automotive software [3]. - Recent revisions to the "Mobility DX Strategy" include support for AI autonomous driving, focusing on AI infrastructure, talent development, and safety standards [3][4]. Group 2: Industry Collaboration - Japanese automakers are collaborating to enhance the domestic supply chain and reduce reliance on foreign technologies, particularly in critical areas like autonomous driving chips and high-precision mapping [5][6]. - The collaboration aims to share R&D resources, reduce costs, and improve efficiency by leveraging each company's strengths in sensor technology, algorithm optimization, and other areas [6][7]. Group 3: Positive Impacts of Alliances - The formation of alliances is expected to lead to significant advancements in infrastructure, such as advanced computing platforms and data centers, to meet the growing computational demands of autonomous driving systems [7]. - The collaboration will also facilitate talent development by integrating training resources and partnering with educational institutions to create specialized programs in automotive engineering and AI [7]. Group 4: Competitive Landscape - The emergence of a Japanese automaker alliance in AI and autonomous driving is likely to intensify global competition, potentially prompting European and American companies to accelerate their own R&D efforts [8]. - This shift may influence the traditional model of independent R&D among automakers, leading to more cross-industry collaborations involving parts suppliers and technology firms [8].