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

20 December 2022
Rodrigo Hernangómez
Alexandros Palaios
Cara Watermann
Daniel Schäufele
Philipp Geuer
R. Ismayilov
Mohammad Parvini
A. Krause
Martin Kasparick
T. Neugebauer
O. D. Ramos-Cantor
Hugues Tchouankem
Jose Angel Leon Calvo
Bo Chen
G. Fettweis
Sławomir Stańczak
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Abstract

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.

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