This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+). Detailed information about the two captured datasets is provided as well. iV2V covers sidelink communication scenarios between Automated Guided Vehicles (AGVs), while iV2I+ is conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The combination of different communication technologies, together with a common measurement methodology, provides insights that can be exploited by Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, prediction of quality of service or link selection. Moreover, the datasets are labelled and pre-filtered for fast on-boarding and applicability. The corresponding testbeds and measurements are also presented in detail for both datasets.

该研究呈现了两个在工业测试平台上进行的无线测量活动，重点是工业车辆之间的侧链通信场景以及用于自主清洁机器人的专用蜂窝网络。两个数据集的详细信息提供，并针对快速应用设计了标签和预过滤，以便为机器学习等任务提供洞见。

走向AI支持下的联网产业：AGV通讯与传感器测量数据集