With advances in sensing, communication, and networking, autonomous vehicles and unmanned aerial vehicles (UAVs) are expected to play a vital role in a variety of areas, including health care, Industry 4.0, smart farming and agriculture, logistics, transportation, and public safety. Together with the upcoming 5G/6G technologies, connected vehicular systems will become more ubiquitous and practical. Artificial intelligence (AI) and machine learning (ML) can provide significant benefits toward automating the tasks of sensing, computing, and communicating in vehicular communication networks. By leveraging traces of numerous operations, AI can optimize network decisions that are reflected in resource utilization and service enhancement.

中文翻译：

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用于自动驾驶汽车通信网络的人工智能 [来自客座编辑]

随着传感、通信和网络方面的进步，自动驾驶汽车和无人机 (UAV) 有望在包括医疗保健、工业 4.0、智能农业和农业、物流、交通运输和公共安全。与即将到来的 5G/6G 技术一起，车联网系统将变得更加无处不在和实用。人工智能 (AI) 和机器学习 (ML) 可以为车辆通信网络中的传感、计算和通信任务自动化提供显着优势。通过利用大量操作的痕迹，人工智能可以优化反映在资源利用和服务增强中的网络决策。