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  4. Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
 
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2024
Journal Article
Title

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

Abstract
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.
Author(s)
Hernangómez Herrero, Rodrigo
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Palaios, Alexandros
Watermann, Cara
Schäufele, Daniel
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Geuer, Philipp
Ismayilov, Rafail
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Parvini, Mohammad
Krause, Anton
Kasparick, Martin  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Neugebauer, Thomas
Ramos-Cantor, Oscar Dario
Tchouankem, Hugues Narcisse
Calvo, Jose Leon
Chen, Bo
Fettweis, Gerhard P.
Stanczak, Slawomir  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Journal
IEEE Communications Magazine  
Open Access
DOI
10.1109/MCOM.001.2300494
Additional link
Full text
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
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