Processing lidAR data from a virtual logistics space

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Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2020-04
Major/Subject
Mcode
Degree programme
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.
Description
Keywords
Fog computing, Hybrid systems, New control applications, Simulation
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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