Recently, we have been witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing information, we anticipate a proliferation of wireless applications exploiting the sensing and CV technologies in 6G. In this article, we provide a holistic overview of the sensing and CV-aided wireless communications (SVWC) framework for 6G. By analyzing the high-resolution sensing information through the powerful CV techniques, SVWC can quickly and accurately understand wire-less environments and then perform wireless tasks. To demonstrate the efficacy of SVWC, we design the whole process of SVWC including the sensing dataset collection, DL model training, and execution of realistic wireless tasks. From numerical evaluations of 6G communication scenarios, we show that SVWC achieves considerable performance gains over conventional 5G systems in terms of positioning accuracy, data rate, and access latency.

中文翻译：

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传感和计算机视觉在 6G 无线通信中的作用


最近，我们见证了传感技术在自动驾驶、机器人和元宇宙领域的显着进步和广泛采用。考虑到用于分析传感信息的计算机视觉 （CV） 技术的快速发展，我们预计在 6G 中利用传感和 CV 技术的无线应用将激增。在本文中，我们全面概述了 6G 的传感和 CV 辅助无线通信 （SVWC） 框架。通过强大的 CV 技术分析高分辨率传感信息，SVWC 可以快速准确地了解无线环境，然后执行无线任务。为了证明 SVWC 的有效性，我们设计了 SVWC 的整个过程，包括传感数据集收集、DL 模型训练和实际无线任务的执行。通过对 6G 通信场景的数值评估，我们表明 SVWC 在定位精度、数据速率和访问延迟方面比传统 5G 系统实现了相当大的性能提升。