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Özgür Ç, Alias C, Noche B (2016). Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks. Logistics Journal : Proceedings, Vol. 2016. (urn:nbn:de:0009-14-43640)

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%0 Journal Article
%T Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks
%A Özgür, Çagdas
%A Alias, Cyril
%A Noche, Bernd
%J Logistics Journal : Proceedings
%D 2016
%V 2016
%N 05
%@ 2192-9084
%F özgür2016
%X Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research.
%L 620
%K camera
%K comparison
%K detection
%K forklift
%K occupancy status
%K sensor
%R 10.2195/lj_Proc_oezguer_en_201605_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-43640
%U http://dx.doi.org/10.2195/lj_Proc_oezguer_en_201605_01
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Bibtex

@Article{özgür2016,
  author = 	"{\"O}zg{\"u}r, {\c{C}}agdas
		and Alias, Cyril
		and Noche, Bernd",
  title = 	"Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2016",
  volume = 	"2016",
  number = 	"05",
  keywords = 	"camera; comparison; detection; forklift; occupancy status; sensor",
  abstract = 	"Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_oezguer_en_201605_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-43640"
}
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RIS

TY  - JOUR
AU  - Özgür, Çagdas
AU  - Alias, Cyril
AU  - Noche, Bernd
PY  - 2016
DA  - 2016//
TI  - Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks
JO  - Logistics Journal : Proceedings
VL  - 2016
IS  - 05
KW  - camera
KW  - comparison
KW  - detection
KW  - forklift
KW  - occupancy status
KW  - sensor
AB  - Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-43640
DO  - 10.2195/lj_Proc_oezguer_en_201605_01
ID  - özgür2016
ER  -
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Wordbib

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ISI

PT Journal
AU Özgür, Ã
   Alias, C
   Noche, B
TI Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks
SO Logistics Journal : Proceedings
PY 2016
VL 2016
IS 05
DI 10.2195/lj_Proc_oezguer_en_201605_01
DE camera; comparison; detection; forklift; occupancy status; sensor
AB Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research.
ER
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Mods

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  <subject>
    <topic>camera</topic>
    <topic>comparison</topic>
    <topic>detection</topic>
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    <topic>occupancy status</topic>
    <topic>sensor</topic>
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Full Metadata

Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2016, Iss. 05
Title

Comparing sensor-based and camera-based approaches to recognizing the occupancy status of the load handling device of forklift trucks (eng)
Author Çagdas Özgür, Cyril Alias, Bernd Noche
Language eng
Abstract Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research. Echtzeitdaten über die Leistungskennzahlen in Lo-gistiklagern sind von wachsender Bedeutung, da sie den Entscheidungsträgern eine unverzügliche Reaktion auf Alarmmeldungen, Abweichungen und Schäden erlauben. Mehrere Technologien erscheinen als geeignete Datenquellen zur Sammlung der für die Erreichung des o.g. Ziels notwendigen Informationen. Im vorliegenden wissenschaftlichen Aufsatz soll der Beladungszustand der Gabel eines Gabelstaplers mit Hilfe eines sensorbasierten und eines kamerabasierten Lösungsansatzes erkannt werden. Der Vergleich der ersten Versuchsergebnisse bringt eine Aussage darüber hervor, in welche Richtung die weitere vielversprechende Forschung verfolgt werden sollte.
Subject camera, comparison, detection, forklift, occupancy status, sensor
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-43640
DOI https://doi.org/10.2195/lj_Proc_oezguer_en_201605_01