Core Viewpoint - The development of a digital twin-based testing system for autonomous vehicles has significantly advanced China's capabilities in intelligent driving technology, marking a transition from following to leading in this field [1]. Group 1: Autonomous Vehicle Testing - A new testing system allows for the simulation of extreme driving scenarios that would traditionally take six months to encounter on real roads, now achievable in just three days [1]. - The project led by Zhao Xiangmo has been recognized with the Global Road Achievement Award, highlighting its importance in the field of intelligent driving testing technology [1]. Group 2: Historical Context and Development - In the late 1980s, the automotive testing industry in China relied heavily on manual methods, which were inefficient and limited [2][3]. - Zhao Xiangmo's team established the first fully automated distributed automotive safety and performance testing line in China, overcoming the challenges posed by foreign equipment monopolies [3][4]. Group 3: Innovations in Road and Bridge Testing - Traditional methods for road and bridge testing were limited, often damaging structures or failing to penetrate deep enough to detect issues [5][6]. - The team developed a new 24-channel detection system that can visualize internal defects in concrete structures up to 10 meters deep, significantly improving testing accuracy [6]. Group 4: Integration of Virtual and Real Testing - The introduction of a "virtual-real fusion" testing approach allows for real-time simulation of various driving conditions while vehicles are tested on actual roads [7][8]. - The new Pioneer vehicle-cloud integrated testing system, set to launch in 2024, will further enhance the efficiency of autonomous vehicle testing, compressing testing cycles from months to days [8][9]. Group 5: Future Vision - The integration of intelligent vehicle terminals, roadside perception equipment, and traffic cloud platforms aims to create a comprehensive system for autonomous vehicle safety and testing [9]. - The ongoing innovation in testing methodologies emphasizes that the boundaries of innovation are defined by imagination rather than physical limitations [9].

从如火如荼的智能驾驶，到真正的自动驾驶，道阻且长。胡大林认为，自动驾驶产业的生态演进分为三 个层次：技术生态、产业生态与社会生态。而自动驾驶要真正走向规模化落地，必须解决"发散环境下 的安全收敛"这一核心难题。 "传统的汽车测试手段难以覆盖自动驾驶算法的复杂性与不确定性，行业亟需新的验证范式。"胡大林提 到，赛目科技自行业起步阶段就提出，要在传统实测基础上，构建以仿真为核心的"算法级验证"体系。 当前，ICV（智能网联汽车）仿真测试、验证和评价业务被视为自动驾驶量产落地的加速器。赛目科技 凭借在这一领域的技术积累与创新解决方案，已成为行业重要的支撑力量。据弗若斯特沙利文资料，按 2023年收入计，赛目科技已是中国ICV测试、验证和评价解决方案行业以及ICV仿真测试软件及平台市 场的最大参与者，市场份额分别约为5.3%和5.9%，并是少数能提供一站式解决方案的企业之一。 "这个仿真与传统仿真的根本区别在于，它需要深度介入算法本身，精准定位其在特定工况下的潜在缺 陷与能力边界，并通过与场地测试、公开道路测试的闭环联动，形成一套层层递进的风险压缩机制，最 终推动自动驾驶系统收敛至'企业敢推、监管敢批、用户敢用'的可 ...

Group 1 - The provincial government emphasizes the need to develop new productive forces tailored to local conditions and to accelerate the cultivation of new driving forces for high-quality development [1] - The government encourages companies in the automotive sector, such as Shandong Xinyi Auto Parts Manufacturing Co., to increase R&D investment and enhance product quality in line with the trends in new energy vehicles [2] - The government highlights the importance of technological innovation, digital transformation, and green development in the paper industry, urging companies like Huatai Group to optimize product structure and improve quality [2] Group 2 - The government stresses the need to ensure stable supply and prices of essential goods, including grains and vegetables, while also focusing on agricultural production and public safety [3] - There is a call for enhanced safety production responsibilities and thorough safety inspections across various industries to prevent accidents [3] - The government aims to stimulate consumer vitality and expand effective investment to promote steady growth in the industrial economy and accelerate the development of the service sector [3]

走进赛目科技位于北京顺义的测试基地，几辆尚未发布的新车型正在进行严格的自动驾驶测试。不远 处，仿真实验室内，工程师们面对屏幕上不断跳动的数据流，正通过数字孪生系统，在虚拟世界中完成 数以万计的场景验证。这里是智能网联汽车（ICV）驶向现实道路前的"终考考场"，而赛目科技，正是 这场大考中严谨而权威的"主考官"。 "我们通过仿真、场地、道路'三支柱'体系，把智能汽车的安全底线守住。"日前，赛目科技董事长胡大 林在接受上海证券报记者专访时表示。这句简洁的概括背后，是赛目科技对智能驾驶安全体系的深度思 考与实践积累。 从仿真底座到"三支柱"闭环 HKEX 日建交易所 , Ltd. le . RE 胡大林 ■董事长专访 赛目科技胡大林： 守护智能驾驶"安全底线" ◎记者 张雪 他也提到，行业在过去一年半中曾陷入"造词竞赛"，把技术竞争变成舆论攻防。"现在行业逐步回归理 性，国家部委也已经明确：'智能驾驶'包括'驾驶辅助'和'自动驾驶'，目前市场上只有'驾驶辅助'，还没 有'自动驾驶'。"这一转变标志着行业正在走向成熟。 在胡大林看来，行业回归理性的背后，是对技术"置信度"日益提升的要求。赛目科技的仿真测试核心工 具链 ...