Processing lidAR data from a virtual logistics space

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openAccess

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A4 Artikkeli konferenssijulkaisussa
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Date

2020-04

Department

Department of Computer Science

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Language

en

Pages

12

Series

2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020, OpenAccess Series in Informatics, Volume 80

Abstract

We study computing solutions that can be used close to the network edge in I2oT systems (Industrial Internet of Things). As a specific use case, we consider a factory warehouse with AGVs (Automated Guided Vehicles). The computing services for such systems should be dependable, yield high performance, and have low latency. For understanding such systems, we have constructed a hybrid system that consists of a simulator yielding virtual LiDAR sensor data streams in real-time and a sensor data processor on a real cluster that acts as a fog computing node close to the warehouse. The processing merges the observations done from the individual sensor streams without using the vehicle-to-vehicle communication links for the complicated computing. We present our experimental results, which show the feasibility of the computing solution.

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Keywords

Fog computing, Hybrid systems, New control applications, Simulation

Other note

DOI

10.4230/OASIcs.Fog-IoT.2020.4

Citation

Harjuhahto, J, Debner, A & Hirvisalo, V 2020, Processing lidAR data from a virtual logistics space . in A Cervin & Y Yang (eds), 2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020 . OpenAccess Series in Informatics, vol. 80, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Workshop on Fog Computing and the IoT, Sydney, Australia, 21/04/2020 . https://doi.org/10.4230/OASIcs.Fog-IoT.2020.4

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https://urn.fi/URN:NBN:fi:aalto-202306053549

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[article-cris] Perustieteiden korkeakoulu / SCI