宇通自动驾驶巴士"小宇"已经成为郑东新区龙湖金融岛一道亮丽的风景线。河南日报资料图片 河南日报社全 媒体记者 时硕 摄 嵩山实验室科研人员正在对整车进行网络弹性测评。记者 师喆 摄 中原工学院的无人船正在按预设航线自动巡航。记者 马愿 摄 曾经，科幻电影里的智能汽车让我们惊叹不已——主角惬意地坐在车内，或是悠闲享受沿途风景，或是忙于 工作，无人操控的汽车像被赋予生命一样，在路上自如行驶，还能精准躲避各种障碍物，最后安全抵达目的 地。 随着人工智能的发展，智能驾驶汽车已经驶出电影，加速跑向了人们的现实生活。尤其是今年年初，比亚 迪、吉利、奇瑞等车企相继发布重磅智能驾驶方案，智驾技术取得显著突破，价格的平民化也将智驾从高端 体验变成日常出行的"标配"。 然而，当"全民智驾"成为热议话题，前不久某品牌车辆的一场"智驾事故"，以逝去三条年轻生命的惨痛代价 给汽车行业"智驾潮"泼了一盆冷水，也引发我们深入思考：智能驾驶，步子是不是迈得太快了？ 中国的智能驾驶现在究竟发展到哪个阶段？智能驾驶技术在不同场景中应用时，安全性如何？真正实现无人 驾驶，还需解决哪些问题？河南在智能驾驶领域做了哪些努力？记者就此进行了走访。 何以 ...

Group 1 - The year 2025 is anticipated to be a turning point for AI application, driven by large models, leading to new creativity across various industries [1] - Despite the increasing total data production, the growth rate of the data security market has not been ideal, with a predicted surge in demand as the risks associated with data loss become more pronounced [1][5] - The report from the National Data Resource Survey (2024) indicates that the annual data production in China will reach 41.06 zettabytes (ZB), a 25% year-on-year increase [5] Group 2 - "Small data security" is emerging as a core focus in the digital economy, where AI models can refine large datasets into high-value, concentrated "small data" [3] - The integration of large models into critical sectors like smart cities and industrial control systems poses significant risks, as unprotected models can lead to widespread operational failures [4] - Over-reliance on AI for decision-making can create a "butterfly effect," where errors in model outputs can have cascading consequences [4] Group 3 - The current state of the data security market is characterized by a lack of urgency in investment, as companies often only react to data breaches rather than proactively securing their data [5][6] - The shift towards high-density "small data" will necessitate increased investment in data security, as the consequences of data loss become more severe [5][6] - The network security industry is expected to see new growth opportunities due to the complexities introduced by AI and emerging business scenarios [6] Group 4 - The "vehicle-road-cloud integration" development path is recognized as a key infrastructure for the future, with significant market potential as government policies support investment in this area [7] - Ensuring data security compliance in this sector is crucial for maintaining traffic order and public safety [7]

大模型"裸奔"上线极有可能引发业务停摆的链式危机 峰会现场，从人形机器人到智能眼镜再到各类AI解决方案，2025年，大模型终于在垂直领域迎来了应用和落地的爆发。作为经历过上一轮互联网"狂欢"的老 兵，齐向东在看到新生产力的同时，也看到了随之而来的安全风险。 首先是"小数据"的重要性远超从前，成为数字经济时代的核心关切。至于这个"小"的范围，齐向东解释称，"小数据"其实是指企业在多年竞争中积累下来的 核心资产。"这个小指的是规模小，用硬盘就能拷走。在大模型垂直应用场景中，大数据经过标注、清洗、学习，就变成了'小数据'，这些精华数据的价值 更高，集中度也强。" 需要注意的是，据齐向东介绍，在相关产业，接触上述数据的大模型开发工程师、训练微调工程师、模型运维工程师、数据管理员、数据标注员等都拥有很 高的数据访问权限，因此权限滥用、身份盗取等情况更难防范，安全风险更为严峻。齐向东直言，对企业来说，一旦精华小数据被窃取、泄露、篡改，企业 常年积累的核心竞争力会瞬间崩塌。 每经记者 杨卉 每经编辑 杨夏 4月29日，第八届数字中国建设峰会在福州举行。会议期间，全国政协委员、全国工商联副主席、奇安信集团董事长齐向东接受了《 ...

完全依靠新能源汽车荣登 "汽车第一城"的深圳，正是中国新能源汽车产业发展的缩影。这里不仅汇聚 比亚迪等龙头企业，更依托政策扶持与电子信息产业优势，在技术创新、产业规模、生态构建等维度全 面领跑，为全球新能源汽车产业发展提供 "中国方案"，助力中国从汽车大国迈向汽车强国。 1、深圳市新能源汽车产业政策环境 ——深圳市新能源汽车重点政策梳理 近年来，深圳市围绕新能源汽车产业构建了"全周期布局、全链条协同、全要素驱动"的政策体系，体现 了战略前瞻性与实践突破性的深度融合。政策框架以"市场扩容、基建攻坚、生态跃迁"为三大支点：在 消费端、基建端、产业端同步布局，形成技术研发、智造升级、标准输出的闭环生态。 新能源汽车的发展，是产业革新、国际角力与社会变革的关键引擎。于产业升级而言，它不仅打破传统 燃油车技术壁垒，更以电池、电控等核心技术为锚点，牵引上下游产业深度融合，构建起智能化、绿色 化的全新产业生态，成为驱动经济高质量发展、实现 "双碳" 目标的战略支点。 在国际竞争的赛道上，中国新能源汽车凭借完整产业链与前沿技术，强势突围。我国新能源汽车出口量 实现了质的飞跃，首次跨越200万辆大关，带动全年汽车出口量达到64 ...

会上，自然资源部地图技术审查中心介绍了部省合作项目整体推进情况，确定了年度工作任务；德 清县地理信息局汇报了工作管理机制的建议，各牵头单位汇报了工作进展及下一步计划。 本报讯 4月17日，由自然资源部地图技术审查中心和莫干山国有资本控股集团牵头，莫干山地信实 验室、国家测绘产品质量检验测试中心、国家光电测距仪检测中心、浙江省测科院、湖州联通、宽凳科 技等14家单位共同参与的部省合作项目《自动驾驶地图数据智能处理与创新应用关键技术研究》启动会 在浙江德清召开。 该项目于2025年1月立项，旨在强化部省合作，有效解决智能网联汽车地理信息数据快速、高效获 取和更新、审查等诉求，对推动测绘地理信息和智能网联汽车产业发展具有重要意义。项目主要包括自 动驾驶地图快速审查与监管能力建设、自动驾驶地图众源更新及场景库安全处理能力建设、自动驾驶地 图时空数据安全防控及评估能力建设、智能网联汽车系统传感器检测能力建设等四项任务。 下一步，德清县将在自然资源部和浙江省自然资源厅的指导下，在保障安全的前提下，积极探索解 决自动驾驶地图要素更新时效性、送审规格不统一以及智能网联汽车时空数据安全防控体系薄弱等行业 痛点难点，坚持系统集成 ...

Core Viewpoint - The article emphasizes the development of new productive forces in Qionghai, focusing on five strategic directions: agricultural enhancement, marine economy, digital innovation, aerial industry, and green development, to attract investment and foster economic growth [5][6][10][12][16]. Group 1: Agricultural Enhancement - Qionghai is leveraging its unique climate to enhance its tropical fruit industry, introducing nearly 700 varieties of tropical fruits, with over 300 successfully trialed [8][9]. - The use of satellite technology in breeding has accelerated the development of new fruit varieties, significantly reducing the time needed for breeding [9]. Group 2: Marine Economy - Qionghai is developing the marine economy by enhancing the Tamen central fishing port, focusing on deep processing, distribution, and tourism integration within the fishing industry [10][11]. - The second phase of the South China Sea Museum is expected to enhance cultural exchange and support the construction of Hainan's free trade port [10][11]. Group 3: Digital Innovation - The introduction of smart transportation systems, including autonomous buses, is part of Qionghai's "vehicle-road-cloud integration" project, improving traffic efficiency and safety [12][13]. - Qionghai is a pilot city for national smart vehicle integration, aiming to expand its capabilities in autonomous vehicle testing and development [13]. Group 4: Aerial Industry - The construction of the third phase of Boao Airport is underway, featuring a zero-carbon terminal designed to handle 2.05 million passengers annually [14][15]. - Qionghai is planning to develop an airport economic zone to focus on air cargo, maintenance, and general aviation services [15]. Group 5: Green Development - The Boao near-zero carbon demonstration zone has achieved significant milestones in carbon neutrality, recognized by international standards [16][17]. - Qionghai is developing ecological products and exploring carbon trading to balance ecological and economic benefits, contributing to sustainable development [17].

Q&A 去年（2024 年）上半年多地推出车路云一体化建设项目后，目前行业的现状 如何？财政投入方面，中央级和地方级专项债的进展如何？ 去年（2024 年）1 月份开始，工信部联合五个主要部门发布了关于智能网联汽 车车路云一体化试点应用工作的通知。我国行业习惯由政策驱动，因此在明确 政策导向下，各地和车企积极推动智能化路测基础设施和云控基础平台建设。 目前，车路云一体化重点集中在路端和云控，由政府背景或国企背景的管理公 司主导。 今年（2025 年）4 月份发布了支持引领政策基础设施数字化转型和 升级的相关材料，明确了增量资金配套，并推动高速公路等数字化转型升级。 在此背景下，不管是行业还是政策端，都在驱动和推动车路云一体化的发展建 设。 从试点城市角度来看，北京、上海、深圳等首批二十几个城市已经开展试 点工作。今年（2025 年）1 月至 4 月间进行了大量招投标工作，一些早期开 展招投标的城市已开始推进建设。财政方面，今年预计有约 1,000 亿元预算内 • 车企在 V2X 技术设备及更高阶自动驾驶通信方面的动力依然较高，主要试 点企业积极参与智能网联示范区和车联网先导区建设，配合车路云一体化 建设，并作 ...

在汽车产业向智能化、网联化加速转型的浪潮下，试验场正成为行业发展不可或缺的一环。记者近日实 探中汽股份（301215）旗下长三角（盐城）智能网联汽车试验场（以下简称"试验场"）发现，这个斥资 15亿元打造的项目，不仅填补了国内智能网联汽车系统性验证平台的空白，更以全球首个智能网联隧 道、智能网联复杂环境多维模拟平台等多个首创性设施，构建起覆盖"车-路-云-网-图"的立体化验证体 系。该项目不仅面向汽车，更涵盖了综合能源站、低空飞行器等交通环境的参与者，俨然是未来交通 的"仿真社会"。 《中汽股份"十四五"发展规划》明确，公司将围绕智能网联汽车试验"三支柱"法，努力构建"仿真-场地- 道路"全景技术服务能力。未来，试验场将如何围绕打造世界一流汽车研发测试平台和全球智能交通系 统"中国样本"付诸实践？带着这些关键问题，记者专访了中汽股份总经理张子鹏。 证券时报记者：试验场的建设初衷是什么？随着试验场建成并实现常态化运营，它展现了哪些亮点？ 张子鹏：在试验场建成之前，我国缺少一个大型、综合测试平台，来解决智能网联汽车正式上路前的各 种问题，突出的问题有技术难以验证、迭代更新较慢等。 2020年，中汽股份敏锐地捕捉到 ...

Core Insights - The company has unveiled its latest strategic developments in the intelligent driving sector during the 2023 Shanghai International Auto Show, showcasing its full-stack technical capabilities in high-precision mapping, vehicle-mounted chips, and advanced driving assistance solutions [1] - The company has established deep strategic partnerships with technology firms such as Qualcomm and Volcano Engine [1] Technical Architecture - The company launched two core product lines based on the Snapdragon® Digital Chassis™ solution, optimizing computing power utilization by 27% and supporting urban NOA Lite functionality [3] - A joint development with Zhuoyue Technology has achieved 0.1-meter-level recognition accuracy for stationary obstacles in complex road conditions through sensor hardware and map data integration [3] Safety Technology Framework - The company introduced a five-layer intelligent driving demand model derived from Maslow's hierarchy of needs, breaking down safety performance into seven core modules, with speed control accuracy of ±1.5 km/h and lateral control error within 0.3 meters [5] - The integration of dynamic high-precision map data has reduced the warning response time for temporary construction zones to 200 milliseconds [5] Industry Collaboration - The collaboration with Volcano Engine has led to breakthroughs in multi-modal interaction for cockpit systems, achieving a voice recognition accuracy of 98.6% in noisy environments and supporting real-time conversion of 12 dialects [7] - Partnership with Hangsheng Electronics has resulted in a 35% reduction in domain controller costs, with plans for mass production of over one million units by 2024 [7] Production Data - In 2023, the company added 23 automotive manufacturers covering 47 models for its advanced driving assistance systems, with basic ADAS product lines achieving large-scale deployment in models priced below 150,000 yuan [9] - The company's self-developed visual perception module has reduced costs by 40% compared to industry averages, while the millimeter-wave radar solution achieves a detection range of 150 meters with an angular resolution of ±0.2 degrees [9] Technological Validation - The CEO emphasized that the company's solutions utilize a white-box verification architecture, with all algorithm modules certified to ISO 26262 ASIL-B level, achieving a 99.3% success rate in recognizing construction scenarios during 100,000 kilometers of road testing [9][10] Integrated Urban Trials - The company has disclosed participation in integrated vehicle-road-cloud trials in six cities, including Beijing and Shanghai, with roadside equipment supporting L4-level autonomous driving capabilities [12] - The V2X technology implemented has reduced traffic event warning information transmission latency to within 50 milliseconds, resulting in a 63% reduction in accident rates compared to purely visual solutions [12] - The recent technology release signifies the establishment of a complete ecosystem in China's intelligent driving supply chain, encompassing "chips-algorithms-data-cloud services," with costs for integrated driving and parking solutions expected to drop to the 2,000 yuan range, accelerating the adoption of L2+ level autonomous driving in the passenger vehicle market [12]

事件：公司发布2024 年度报告及2025 年一季报，2024 年全年公司实现营收16.10 亿元(-3.94%)，归母净 利润1.29 亿元(-2.31%)；2024Q4 公司实现营收6.92 亿元(-2.41%)，归母净利润1.13 亿元(-5.47%)； 2025Q1 公司实现营收1.09 亿元(-55.53%)，归母净利润-0.15 亿元，亏损同比收窄。 受城市治理业务减少及确收进度影响业绩短暂承压，研发投入持续增加。 2024 年全年，受城市治理业务减少及应收账款坏账计提金额增加等影响，公司业绩短暂承压，分板块 来看，民航空中交通管理实现营收6.26 亿元(+13.68%)；城市道路交通管理实现营收6.71 亿元 (+33.47%)；城市治理实现营收2.69 亿元(-47.31%)；企业级信息化及其他实现营收0.4 亿元(-63.06%)。 2025 年第一季度，受城市道路交通管理领域销售收入减少及确收进度等影响，公司营收同比下滑，但 亏损同比收窄。2024/2025Q1，公司研发费用为1.46 亿元/0.4 亿元(+12.31%/18.99%)，研发费用率为 9.04%/ 36.81%(+1.37 ...