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Article: A full-immersive CAVE-based VR simulation system of forklift truck operations for safety training

TitleA full-immersive CAVE-based VR simulation system of forklift truck operations for safety training
Authors
KeywordsCave
Forklift Truck
Simulator
Virtual Reality
Vr Training
Issue Date2010
PublisherCAD Solutions. The Journal's web site is located at http://www.cadanda.com
Citation
Computer-Aided Design And Applications, 2010, v. 7 n. 2, p. 235-245 How to Cite?
AbstractThis paper proposes a CAVE-based virtual reality simulation system for safety enhancement of forklift truck operations in warehouses to improve warehousing management. The system provides a virtual environment in which drivers can fully immerse to practise forklift truck manoeuvres and pallet operations. Truck drivers can easily review and rectify their driving techniques, and more importantly, "virtual accidents" can be created and visualised to enhance safety awareness without any real dangers. As a result, they would become more vigilant and skilful in handling adverse conditions; warehouses would become safer, more efficient and cost-effective to manage. The paper first discusses the design and implementation of the simulation algorithms in the CAVE system; it then describes the integration with an intuitive human-machine interface (HMI) based on the infra-red motion tracking system to enhance driving operations and user experiences. Examples of accident-like scenarios will also be demonstrated. © 2010 CAD Solutions, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/155936
ISSN
2023 SCImago Journal Rankings: 0.245
References

 

DC FieldValueLanguage
dc.contributor.authorYuen, KKen_US
dc.contributor.authorChoi, SHen_US
dc.contributor.authorYang, XBen_US
dc.date.accessioned2012-08-08T08:38:30Z-
dc.date.available2012-08-08T08:38:30Z-
dc.date.issued2010en_US
dc.identifier.citationComputer-Aided Design And Applications, 2010, v. 7 n. 2, p. 235-245en_US
dc.identifier.issn1686-4360en_US
dc.identifier.urihttp://hdl.handle.net/10722/155936-
dc.description.abstractThis paper proposes a CAVE-based virtual reality simulation system for safety enhancement of forklift truck operations in warehouses to improve warehousing management. The system provides a virtual environment in which drivers can fully immerse to practise forklift truck manoeuvres and pallet operations. Truck drivers can easily review and rectify their driving techniques, and more importantly, "virtual accidents" can be created and visualised to enhance safety awareness without any real dangers. As a result, they would become more vigilant and skilful in handling adverse conditions; warehouses would become safer, more efficient and cost-effective to manage. The paper first discusses the design and implementation of the simulation algorithms in the CAVE system; it then describes the integration with an intuitive human-machine interface (HMI) based on the infra-red motion tracking system to enhance driving operations and user experiences. Examples of accident-like scenarios will also be demonstrated. © 2010 CAD Solutions, LLC.en_US
dc.languageengen_US
dc.publisherCAD Solutions. The Journal's web site is located at http://www.cadanda.comen_US
dc.relation.ispartofComputer-Aided Design and Applicationsen_US
dc.subjectCaveen_US
dc.subjectForklift Trucken_US
dc.subjectSimulatoren_US
dc.subjectVirtual Realityen_US
dc.subjectVr Trainingen_US
dc.titleA full-immersive CAVE-based VR simulation system of forklift truck operations for safety trainingen_US
dc.typeArticleen_US
dc.identifier.emailChoi, SH:shchoi@hkucc.hku.hken_US
dc.identifier.authorityChoi, SH=rp00109en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.3722/cadaps.2010.235-245en_US
dc.identifier.scopuseid_2-s2.0-77957274024en_US
dc.identifier.hkuros175323-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77957274024&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume7en_US
dc.identifier.issue2en_US
dc.identifier.spage235en_US
dc.identifier.epage245en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYuen, KK=36520218300en_US
dc.identifier.scopusauthoridChoi, SH=7408119615en_US
dc.identifier.scopusauthoridYang, XB=36520311200en_US
dc.identifier.citeulike9593056-
dc.identifier.issnl1686-4360-

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