Verfahren zur kooperativen Erkennung autonomer Transportfahrzeuge basierend auf Laserscannerdaten

Authors

  • Andreas Kamagaew Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund
  • Michael ten Hompel Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund

DOI:

https://doi.org/10.2195/lj_Proc_kamagaew_de_201310_01

Keywords:

Bildverarbeitung, Internet der Dinge, Internet of Things, Intralogistics, Logistics, Logistik, Logistiknetzwerke, Sensormodelle, Sensornetzwerk, Synchronisierung, Synchronization, Zellulare Transportfahrzeuge, cellular transport vehicle, computer vision, sensor models, wireless sensor network

Abstract

To master changing performance demands, autonomous transport vehicles are deployed to make inhouse material flow applications more flexible. The socalled cellular transport system consists of a multitude of small scale transport vehicles which shall be able to form a swarm. Therefore the vehicles need to detect each other, exchange information amongst each other and sense their environment. By provision of peripherally acquired information of other transport entities, more convenient decisions can be made in terms of navigation and collision avoidance. This paper is a contribution to collective utilization of sensor data in the swarm of cellular transport vehicles.

Downloads

Published

2013-10-16

How to Cite

Kamagaew, A., & ten Hompel, M. (2013). Verfahren zur kooperativen Erkennung autonomer Transportfahrzeuge basierend auf Laserscannerdaten. Logistics Journal: Proceedings, (9). https://doi.org/10.2195/lj_Proc_kamagaew_de_201310_01