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.

翻译：本文介绍了在工业测试平台中的两项无线测量活动：工业车对车（iV2V）与工业车对基础设施及传感器（iV2I+）。同时提供了所采集的两个数据集的详细信息。iV2V涵盖了自动导引车（AGV）之间的侧行链路通信场景，而iV2I+则在工业环境中进行，其中自主清洁机器人接入专用蜂窝网络。不同通信技术的结合，配合统一的测量方法，为机器学习（ML）在诸如指纹识别、视距检测、服务质量预测或链路选择等任务中提供了可利用的洞见。此外，这些数据集经过标注和预过滤，便于快速接入与应用。本文还详细介绍了这两个数据集对应的测试平台及测量过程。