mlsanityData to 7 Oct 2026

Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets

arXiv 2301.03364 ↗First posted 20 Dec 2022cs.NI cs.AI cs.LGcited by 2

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Abstract (arXiv)

This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed information about the two captured datasets. 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 within 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 publicly available, labelled and prefiltered for fast on-boarding and applicability.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 1 of its 34 references that are in the map. First posted on arXiv 20 Dec 2022.

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1 of 34 references.

References · 1

  1. 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.

2 papers.