自然资源部地理信息管理司司长陈平30日表示，自然资源部已在北京、上海、重庆、杭州、广州、深圳 等6个城市，开展"在确保安全的前提下试行高精度地图面向智能网联汽车使用"创新试点，初步贯通地 图数据快速融合更新路径，逐步构建自动驾驶地图标准体系。 同时，我国地理信息产业发展势头良好。据中国地理信息产业协会测算，"十四五"末，我国地理信息产 业总产值预计突破9000亿元，较"十三五"期间增长超30%，从业人员超400万人。 自然资源部国土测绘司司长陈军表示，我国已经初步建成实景三维中国，支撑数字中国建设。通过技术 集成和数据整合，我国已经建立了从设计、建设到应用的实景三维技术体系，构建了由地理实体、地理 场景、地理实景等组成的系列实景三维数据成果。 实景三维中国是数字中国的重要基础要素，为数字经济、智慧城市提供统一的时空基底。宏观层面，地 形级实景三维实现大场景三维数字映射，5米、10米格网等系列产品覆盖全国陆地国土，1:1万数据覆盖 70%陆地国土。中观层面，城市级实景三维对城市三维空间进行数字映射，300余个地级以上城市完成 LOD1.3三维模型生产，67个城市开展智慧城市时空大数据平台建设试点，助推城市全域数 ...

当历史的经纬在时代画卷上徐徐铺展，"十四五"的磅礴笔触，为测绘地理信息事业勾勒出恢宏的轮廓。 12月30日，自然资源部召开新闻发布会，介绍"十四五"以来我国测绘地理信息工作取得的重要成果。从 全国卫星导航定位基准站一张网到实景三维中国，从自动驾驶地理信息安全应用到服务低空经济……这 五年，测绘地理信息事业转型升级，全面支撑自然资源管理、服务生态文明建设，全面支撑各行业需 求、服务经济社会发展，取得累累硕果。 搭建全国基准站一张网，初步建成实景三维中国 卫星导航定位基准站是北斗系统的关键配套设施，在高精度导航定位、北斗产业发展中发挥重要作用。 "为适应当前新形势新任务新要求，自然资源部近期发布了《卫星导航定位基准站管理办法》，将于 2026年1月1日正式施行，这是我国首部全链条规范基准站管理的部门规章。"自然资源部国土测绘司司 长陈军介绍。 "十四五"期间，自然资源部着力加强全国基准站规范化建设和服务——整合了全国7000座基准站数据资 源，建成全国卫星导航定位基准站一张网并常态化运行；构建"1﹢32"国家级和省级北斗应用与基准服 务中心，形成上下联动、区域协同的服务保障机制；面向全社会提供测绘基准服务，为林草 ...

Core Viewpoint - The company announced adjustments to its fundraising projects, including delays and changes in the layout of sub-projects under the "Intelligent Connected Vehicle Chip R&D Project" [2][3] Fundraising Project Adjustments - The company is postponing the expected usability dates for the "Intelligent Connected Vehicle Chip R&D Project" and the "Autonomous Driving Dedicated Cloud Platform Project" to December 2028 and December 2026, respectively [2][3] - The total amount of funds raised in 2020 was approximately 4 billion yuan, with a net amount of about 3.975 billion yuan after deducting issuance costs [2] Reasons for Delays - The delay in the "Intelligent Connected Vehicle Chip R&D Project" is attributed to a conservative chip procurement approach by automakers amid a plateau in the global electric vehicle market, along with increased design complexity due to the need for multi-functional integration [3] - The postponement of the "Autonomous Driving Dedicated Cloud Platform Project" is due to structural changes in the industry ecosystem, with a reduced urgency for independent cloud platforms as general AI platforms become mainstream [3] Terminated and New Sub-Projects - Two sub-projects, the Low-cost DA Chip AC8005 and the Visual Processing Chip AC6815, have been terminated due to market conditions and lack of competitive advantage [4] - Two new sub-projects have been added: the high-cost performance connected instrument SoC AC8117 and the high-performance 5G vehicle networking IVI SoC AC8277, which align with market trends and regulatory requirements [4] Fund Utilization - As of November 30, 2025, the company has invested 689 million yuan in the "Intelligent Connected Vehicle Chip R&D Project," accounting for 55.55% of the planned total, with approximately 669 million yuan remaining for ongoing and new projects [4]

Core Viewpoint - The project "Key Technology Research on Intelligent Processing and Innovative Application of Autonomous Driving Map Data" aims to enhance collaboration between ministries and provinces, addressing the needs for rapid and efficient acquisition, updating, and review of geographic information data for intelligent connected vehicles [1][2] Group 1: Project Overview - The project was initiated on January 2025 and involves 14 organizations, including the Ministry of Natural Resources and Mogan Mountain State Capital Holding Group [1] - Key tasks include building rapid review and regulatory capabilities for autonomous driving maps, updating maps from multiple sources, ensuring data security, and enhancing sensor detection capabilities for intelligent connected vehicles [1] Group 2: Industry Implications - The collaboration is seen as a significant step in deepening innovative cooperation between ministries and local governments, leveraging geographic information technology to empower the vehicle networking industry [2] - A dual system of "industry empowerment + safety control" is proposed to balance the convenience of smart travel with national security [2] Group 3: Project Execution Strategy - The project will implement a dynamic assessment and elimination system, establish a shared intellectual property pool, and create a replicable "standard review process + data governance norms" model [2] - The focus will be on addressing industry challenges such as the timeliness of map updates, inconsistent review specifications, and weaknesses in the safety control system for spatiotemporal data [2]