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Collaborative Detection of Autonomous Transport Vehicles

: Kamagaew, Andreas; Ten Hompel, Michael


Clausen, Uwe (Hrsg.); Ten Hompel, Michael (Hrsg.); Meier, J. Fabian (Hrsg.):
Efficiency and Innovation in Logistics : Proceedings of the International Logistics Science Conference (ILSC) 2013
Heidelberg: Springer Cham, 2014 (Lecture Notes in Logistics)
ISBN: 978-3-319-01377-0 (print)
ISBN: 978-3-319-01378-7 (online)
International Logistics Science Conference (ILSC) <2013, Dortmund>
Conference Paper
Fraunhofer IML ()
cellular transport vehicle; Internet-of-things; logistics; computer vision; wireless sensor network synchronization; sensor model

To master changing performance demands, autonomous transport vehicles are deployed to make in-house material flow applications more flexible. The so-called 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.