遇见数据集

AI4Mobile Industrial Datasets: iV2V and iV2I+

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DataCite Commons2022-10-31 更新2025-04-16 收录
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资源简介:

 This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor). iV2V covers sidelink communication scenarios between Automated Guided Vehicles (AGVs), while iV2I+ was conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The datasets are labelled and pre-filtered for a fast on-boarding and applicability. The common measurement methodology to both datasets pursues an application to Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, prediction of quality of service or link selection, among others. 

本数据集提供了来自两个工业测试床的无线测量数据:工业车车通信(industrial Vehicle-to-Vehicle,简称iV2V)与工业车基通信加传感器(industrial Vehicular-to-Infrastructure plus sensor,简称iV2I+)。其中iV2V覆盖自动导引车(Automated Guided Vehicles,AGVs)之间的侧链路通信场景;而iV2I+的测试场景部署于工业环境中,该环境内一台自主清洁机器人连接至私有蜂窝网络。本数据集已完成标注与预过滤处理,可实现快速接入并具备良好适用性。两个数据集均采用通用的测量方法,旨在适配机器学习(Machine Learning,简称ML)的各类任务,例如无线指纹识别、视距检测、服务质量预测以及链路选择等。

提供机构:
IEEE DataPort
创建时间:
2022-10-31
搜集汇总
背景与挑战
背景概述
该数据集提供来自两个工业测试平台的无线测量数据:iV2V(工业车辆到车辆)和iV2I+(工业车辆到基础设施加传感器)。iV2V覆盖自动导引车(AGV)之间的侧链通信场景,iV2I+则涉及工业环境中自主清洁机器人连接到私有蜂窝网络的情况。数据集已标记和预过滤,便于快速应用,并采用统一的测量方法,旨在支持机器学习任务,如指纹识别、视距检测和服务质量预测等。
以上内容由遇见数据集搜集并总结生成
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