来源：环球网 平阴山水石灰岩矿无人驾驶矿卡成果发布仪式 当时代的目光聚焦无人驾驶，矿山已经用一次次的规模化落地书写"科幻变成现实"的答案！ 5月15日，"平阴山水水泥石灰岩矿无人驾驶成果发布会暨无人驾驶矿卡应用观摩会"在山东济南盛大启 幕。该项目由平阴山水水泥有限公司主办，兖州中材、易控智驾、宇通矿卡、中国移动等联合协办，标 志着我国露天矿区全矿无人驾驶从试点探索迈向规模化落地的重要里程碑，为行业提供可复制、可推广 的绿色智运解决方案。 平阴山水无人驾驶项目高效、高质量的落地离不开矿山智能化产业链的完善与协同。项目以山水集团需 求为主导，构建了"智能装备+数字基建+创新技术+场景运营"协同范式，通过兖州中材、易控智驾、宇 通矿卡、中国移动的深度协同，形成了"技术-场景-产业"闭环，为行业提供了全要素联动的智慧矿山解 决方案样本。 作为技术赋能核心方，易控智驾依托其自研的无人驾驶技术方案'著山'，通过场景化技术适配实现精准 赋能。无人驾驶项目组深入矿区实际作业场景，对无人驾驶技术方案进行'轻量化改造'，最大限度复用 矿山现有设施，减少系统及环境改造，让无人驾驶无缝嵌入实际生产作业场景。通过自动篷布一键管控 扬尘 ...

Core Viewpoint - The successful operation of China's first fleet of over 100 pure electric unmanned mining trucks marks a significant advancement in the country's autonomous mining technology, transitioning from experimental phases to large-scale application, thereby accelerating the development of smart mining in China [1] Industry Summary - The deployment of the unmanned mining truck fleet signifies a milestone in the application of autonomous technology within the mining sector, indicating a shift towards more efficient and innovative mining operations [1] - This development is expected to enhance the overall productivity and safety of mining activities, aligning with global trends towards automation and sustainability in resource extraction [1]

Red Cat Holdings (RCAT) Q1 2025 Earnings Call May 14, 2025 04:30 PM ET Company Participants Christian Koji Ericson - CFOJeffrey Thompson - Founder, Chairman, President & CEOAshok Kumar - Head of Equity Research Conference Call Participants Glenn Mattson - AnalystMike Latimore - MD & Equity Analyst - AI and Communications SaaS Operator Please note this event is being recorded. During this call, management will be making forward looking statements, including statements that address Redcat's expectations for f ...

智通财经5月14日电，优步和德国大众汽车将于2026年年初在美国洛杉矶启动无人驾驶出行服务。 ...

金十数据5月14日讯，据知情人士透露，百度正积极探索将旗下无人驾驶出行服务"萝卜快跑"扩展至瑞 士与土耳其，加快出海步伐，未来数月内，百度计划在瑞士设立实体公司。过去几年间，萝卜快跑已在 北京、武汉、重庆、深圳及香港等复杂城市交通场景中积累了大量真实路况落地经验。 （21财经） 知情人士：萝卜快跑将落地瑞士、土耳其，百度正筹建瑞士公司 ...

智通财经5月14日电，百度据悉计划在欧洲推出无人驾驶计程车，正与瑞士POSTAUTO洽谈，将在欧洲 国家推出APOLLO GO自动驾驶服务。 ...

Core Viewpoint - The successful assembly and delivery of 135 autonomous mining trucks by the Zahanashor Coal Company marks the launch of the first large-scale autonomous mining truck project in Inner Mongolia, significantly enhancing operational efficiency and safety in coal mining operations [1][2] Group 1: Project Implementation - The Zahanashor Coal Company, in collaboration with Jiuxing Company, Dongfang Company, and Yikong Zhijia, has initiated a trial operation with 33 autonomous mining trucks starting in 2024 [1] - The autonomous trucks have accumulated over 770,000 kilometers in operation and have removed over 5.25 million cubic meters of earth, achieving zero accidents during production [1] Group 2: Operational Efficiency - The use of autonomous mining trucks has increased operational efficiency to 90% of manual labor, extending effective working hours from 19 to a maximum of 21 hours per day [1] - The deployment of 135 autonomous trucks is expected to reduce the workforce by 325 drivers, saving approximately 4 million yuan in labor costs monthly [1] Group 3: Technological Advancements - The stable operation of autonomous mining trucks is supported by a comprehensive 4G/5G mixed communication network, enabling intelligent scheduling and vehicle monitoring through a smart cloud control center [2] - The project has successfully addressed challenges related to operating autonomous technology in harsh cold climates and complex geological conditions, enhancing safety and reducing personnel involvement [2] Group 4: Economic and Social Impact - The implementation of autonomous mining technology is anticipated to bring significant economic benefits by lowering labor costs and improving the working environment for employees, while also reducing the occurrence of safety incidents [2]

Group 1 - Google has requested to transmit high-precision map data with a scale of 1:5000 overseas, which could be used in various industries such as autonomous driving and AI learning [1] - The South Korean government is cautious about this request due to security concerns, as the maps contain locations of military bases and important national facilities [1] - A survey by the Korea Spatial Information Industry Association revealed that 90% of domestic spatial information companies oppose Google's request for data transmission, with 67% strongly opposing and 23% opposing [1] Group 2 - Previous requests by Google to transmit map data in 2011 and 2016 were denied by the South Korean government due to security issues, but the current situation may differ due to increased pressure from the U.S. government [2] - The U.S. Trade Representative's office has indicated that South Korea's restrictions on location data transmission create disadvantages for multinational companies competing outside of Korea [2] - There are concerns that the issue of map data transmission could escalate into a trade conflict during negotiations with the U.S. government [2]

如果您希望可以时常见面，欢迎标星收藏哦~ "我们希望通过这项技术，加速L2+到L3乃至L4级无人驾驶的落地进程。"Roman强调，Arbe的成 像雷达不仅可以在高速（130公里/小时甚至更高）场景下确保高精度识别，而且能够在严苛天气或 低能见度条件下保持稳定性能，从而成为摄像头与激光雷达的强有力补充。 据了解，得益于48发48收的天线阵列设计，Arbe的系统可生成多达2,304个虚拟通道，远超行业主 流，提供无与伦比的空间分辨率和检测精度。这一架构不仅大幅提升了前向雷达性能，也为传感器 融合提供了丰富的数据支撑。 此外，Arbe的雷达芯片具备高算力处理能力，能够实时处理复杂回波数据，保障高速场景下的系 统响应和安全性。同时，其跳频波形设计有效规避电磁干扰，使雷达在多车道和城市拥堵环境下仍 保持高度稳定。 在技术演示环节中，Arbe团队向媒体展示了其成像雷达识别微小目标的能力——例如，在290米之 外识别一块仅11.5×11.5厘米的木块。相比视觉系统和激光雷达的同步失效风险，成像雷达在补 盲、穿透力和全天候稳定性方面显现出显著优势。 "我们用物理能力捕捉信息，而不是算法去'填补'认知空白。"Arbe中国区雷达 ...

Core Viewpoint - The first batch of Level 4 autonomous buses in Nanjing has entered the road testing phase, with free rides available for citizens starting in early July [1][2]. Group 1: Autonomous Bus Features - The autonomous buses are equipped with multiple radars and cameras, referred to as "big eyes," which help in real-time environmental sensing and target recognition [1][2]. - The buses utilize a sophisticated decision-making algorithm that processes the collected data to perform driving actions such as obstacle avoidance and stopping [2]. - Compared to traditional buses, these autonomous vehicles can more efficiently and reliably identify obstacles and pedestrians, thereby reducing traffic accidents [2]. Group 2: Safety Measures - A safety operator is required to be present on the bus to take control in case of emergencies, ensuring operational safety [2]. - The safety operator has undergone a period of adaptation to the autonomous system, indicating a learning curve associated with the new technology [2]. Group 3: Testing and Implementation - The initial road testing began on April 28, covering at least 1,000 kilometers or 240 hours to ensure safety and reliability before the demonstration phase [3]. - Testing routes include a total distance of approximately 11 kilometers in Qinhuai District and 6 kilometers in Qixia District, showcasing the operational capabilities of the buses [3]. - Nanjing is one of the first cities selected for the "vehicle-road-cloud integration" pilot program, which includes various types of intelligent connected vehicles [3].