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          <dc:title>Processing LiDAR Data from a Virtual Logistics Space</dc:title>
          <dc:creator>Harjuhahto, Jaakko</dc:creator>
          <dc:creator>Debner, Anton</dc:creator>
          <dc:creator>Hirvisalo, Vesa</dc:creator>
          <dc:subject>simulation</dc:subject>
          <dc:subject>hybrid systems</dc:subject>
          <dc:subject>new control applications</dc:subject>
          <dc:subject>fog computing</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jaakko Harjuhahto and Anton Debner and Vesa Hirvisalo</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 80, 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.Fog-IoT.2020.4</dc:identifier>
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          <dc:language>eng</dc:language>
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