本月行业报告发布最新动态,无人区乱码与二码通的区别：揭秘两种技术的应用与特点

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本周数据平台最新官方渠道传来研究成果:本月行业协会发布重大动态,无人区乱码与二码通的区别：揭秘两种技术的应用与特点

在无人驾驶技术飞速发展的今天，无人区乱码与二码通作为两种重要的技术手段，在保障无人驾驶车辆安全行驶方面发挥着至关重要的作用。那么，这两种技术究竟有何区别？本文将为您揭秘无人区乱码与二码通的应用与特点。 一、无人区乱码 1. 定义：无人区乱码是一种通过在道路上设置特定编码，利用车辆上的传感器识别这些编码，从而实现车辆在无人区行驶的技术。 2. 应用：无人区乱码主要应用于城市道路、高速公路等无人区，通过识别道路上的编码，为无人驾驶车辆提供导航、车道保持、速度控制等功能。 3. 特点： （1）识别精度高：无人区乱码采用高精度的编码技术，能够准确识别道路上的编码，提高无人驾驶车辆的行驶安全性。 （2）抗干扰能力强：无人区乱码技术具有较强的抗干扰能力，能够在复杂环境下稳定工作。 （3）成本较低：相比其他无人驾驶技术，无人区乱码的成本较低，有利于大规模推广应用。 二、二码通 1. 定义：二码通是一种结合了RFID（无线射频识别）和二维码技术的无人驾驶辅助系统，通过车辆上的传感器识别道路上的RFID标签或二维码，实现车辆在无人区行驶。 2. 应用：二码通适用于城市道路、高速公路、停车场等无人区，为无人驾驶车辆提供导航、车道保持、速度控制等功能。 3. 特点： （1）识别速度快：二码通结合了RFID和二维码技术，能够快速识别道路上的标签或二维码，提高无人驾驶车辆的行驶效率。 （2）适用范围广：二码通可应用于多种场景，如停车场、地下车库等，具有较强的实用性。 （3）数据传输稳定：二码通采用无线射频识别技术，数据传输稳定，有利于无人驾驶车辆在复杂环境下稳定行驶。 三、无人区乱码与二码通的区别 1. 技术原理不同：无人区乱码主要依靠道路上的编码实现识别，而二码通结合了RFID和二维码技术。 2. 识别速度不同：二码通结合了RFID和二维码技术，识别速度较快；无人区乱码的识别速度相对较慢。 3. 适用场景不同：无人区乱码适用于城市道路、高速公路等无人区；二码通适用于城市道路、高速公路、停车场等更多场景。 总之，无人区乱码与二码通作为两种重要的无人驾驶辅助技术，各有优缺点。在实际应用中，应根据具体场景和需求选择合适的技术，以提高无人驾驶车辆的行驶安全性、效率和实用性。随着技术的不断发展和完善，无人区乱码与二码通有望在无人驾驶领域发挥更大的作用。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co