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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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<b:PeriodicalTitle>Logistics Journal</b:PeriodicalTitle>
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<b:Issue>10</b:Issue>
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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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  <titleInfo>
    <title>Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data</title>
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    <namePart type="family">ten Hompel</namePart>
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  <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.</abstract>
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    <topic>Bildverarbeitung</topic>
    <topic>Internet der Dinge</topic>
    <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>
    <topic>cellular transport vehicle</topic>
    <topic>computer vision</topic>
    <topic>sensor models</topic>
    <topic>wireless sensor network</topic>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-37662</identifier>
  <identifier type="citekey">kamagaew2013</identifier>
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