This article presents two wireless measurement campaigns in industrial testbeds: industrial vehicle-to-vehicle (iV2V) and industrial vehicle-to-in-frastructure plus sensor (iV21+), with detailed information about the two captured datasets. iV2V covers sidelink communication scenarios between moving and stationary robots, while iV21+ is conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The combination of different communication technologies within a common measurement methodology provides insights that can be exploited by ML for tasks, such as fingerprinting, line-of-sight detection, prediction of quality of service, or link selection. Moreover, the datasets are publicly available, labeled, and pre-filtered for fast on-boarding and applicability.

中文翻译：

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迈向人工智能互联行业：AGV 通信和传感器测量数据集

本文介绍了工业测试台中的两个无线测量活动：工业车辆到车辆 (iV2V) 和工业车辆到基础设施加传感器 (iV21+)，以及有关两个捕获数据集的详细信息。 iV2V 涵盖移动机器人和静止机器人之间的侧链通信场景，而 iV21+ 则在工业环境中进行，其中自主清洁机器人连接到专用蜂窝网络。通用测量方法中不同通信技术的组合提供了机器学习可以利用的见解来执行任务，例如指纹识别、视线检测、服务质量预测或链路选择。此外，数据集是公开可用的、经过标记和预先过滤的，以实现快速入门和适用性。