Processing lidAR data from a virtual logistics space

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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.

Original languageEnglish
Title of host publication2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020
EditorsAnton Cervin, Yang Yang
PublisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik
Number of pages12
ISBN (Electronic)9783959771443
Publication statusPublished - Apr 2020
MoE publication typeA4 Article in a conference publication
EventWorkshop on Fog Computing and the IoT - Sydney, Australia
Duration: 21 Apr 202021 Apr 2020
Conference number: 2

Publication series

NameOpenAccess Series in Informatics
ISSN (Print)2190-6807


WorkshopWorkshop on Fog Computing and the IoT
Abbreviated titleFog-IoT


  • Fog computing
  • Hybrid systems
  • New control applications
  • Simulation


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