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Kamagaew A, ten Hompel M (2013). Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data. Logistics Journal, Vol. 2013. (urn:nbn:de:0009-14-37662)

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%0 Journal Article
%T Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data
%A Kamagaew, Andreas
%A ten Hompel, Michael
%J Logistics Journal
%D 2013
%V 2013
%N 10
%@ 2192-9084
%F kamagaew2013
%X 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.
%L 620
%K Bildverarbeitung
%K Internet der Dinge
%K Internet of Things
%K Intralogistics
%K Logistics
%K Logistik
%K Logistiknetzwerke
%K Sensormodelle
%K Sensornetzwerk
%K Synchronisierung
%K Synchronization
%K Zellulare Transportfahrzeuge
%K cellular transport vehicle
%K computer vision
%K sensor models
%K wireless sensor network
%R 10.2195/lj_Proc_kamagaew_de_201310_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-37662
%U http://dx.doi.org/10.2195/lj_Proc_kamagaew_de_201310_01
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Bibtex

@Article{kamagaew2013,
  author = 	"Kamagaew, Andreas
		and ten Hompel, Michael",
  title = 	"Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data",
  journal = 	"Logistics Journal",
  year = 	"2013",
  volume = 	"2013",
  number = 	"10",
  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.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_kamagaew_de_201310_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-37662"
}
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RIS

TY  - JOUR
AU  - Kamagaew, Andreas
AU  - ten Hompel, Michael
PY  - 2013
DA  - 2013//
TI  - Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data
JO  - Logistics Journal
VL  - 2013
IS  - 10
KW  - Bildverarbeitung
KW  - Internet der Dinge
KW  - Internet of Things
KW  - Intralogistics
KW  - Logistics
KW  - Logistik
KW  - Logistiknetzwerke
KW  - Sensormodelle
KW  - Sensornetzwerk
KW  - Synchronisierung
KW  - Synchronization
KW  - Zellulare Transportfahrzeuge
KW  - cellular transport vehicle
KW  - computer vision
KW  - sensor models
KW  - wireless sensor network
AB  - 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.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-37662
DO  - 10.2195/lj_Proc_kamagaew_de_201310_01
ID  - kamagaew2013
ER  -
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Wordbib

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ISI

PT Journal
AU Kamagaew, A
   ten Hompel, M
TI Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data
SO Logistics Journal
PY 2013
VL 2013
IS 10
DI 10.2195/lj_Proc_kamagaew_de_201310_01
DE 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
AB 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.
ER
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Mods

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    <topic>Internet of Things</topic>
    <topic>Intralogistics</topic>
    <topic>Logistics</topic>
    <topic>Logistik</topic>
    <topic>Logistiknetzwerke</topic>
    <topic>Sensormodelle</topic>
    <topic>Sensornetzwerk</topic>
    <topic>Synchronisierung</topic>
    <topic>Synchronization</topic>
    <topic>Zellulare Transportfahrzeuge</topic>
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  <identifier type="citekey">kamagaew2013</identifier>
</mods>
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Full Metadata

Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2013, Iss. 10
Title

Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data (eng)

Verfahren zur kooperativen Erkennung autonomer Transportfahrzeuge basierend auf Laserscannerdaten (ger)
Author Andreas Kamagaew, Michael ten Hompel
Language eng
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. Für die Flexibilisierung des innerbetrieblichen Materialflusses werden autonome Transportfahrzeuge eingesetzt, um wechselnden Leistungsanforderungen gerecht zu werden. In diesem sogenannten Zellularen Transportsystem, bestehend aus einer Vielzahl kleinskaliger Transportfahrzeuge, sollen Fahrzeuge in der Lage sein, untereinander zu kommunizieren, sich gegenseitig zu erkennen und die Umwelt wahrzunehmen. Durch die Bereitstellung von dezentral akquirierten Informationen anderer Transportentitäten können bessere Entscheidungen zur Wegfindung und Kollisionsvermeidung getroffen werden. Dieses Paper ist ein Beitrag für die gemeinsame Nutzung von Sensordaten innerhalb eines Fahrzeugschwarms.
Subject 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
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-37662
DOI https://doi.org/10.2195/lj_Proc_kamagaew_de_201310_01