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On visionsystems for pallet identification and positioning for autonomous warehouse vehicles
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Avhandlingen genomfördes för att ge en överblick över olika kamerasystem och möjliga algoritmer för att upptäcka och positionera EUR-pallar i ett ställage. Systemen skulle användas av autonoma gaffeltruckar. Time-of-Flight kameror, stereomoduler och structured-light kameror undersöktes tillsammans med vanliga 2D-kameror och deras objektiv. Genomförandet utvärderade två olika 2D kameror tillsammans med en ZED stereomodul från Stereolabs. Det resulterande systemet lyckades identifiera och placera en pall med mer än 5 mm precision, men resultaten var baserade på begränsad testdata.

Place, publisher, year, edition, pages
2017. , p. 83
Keywords [en]
kameror, bildbehandling, autonoma, truckar, undersökning, EMVA
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-138686ISRN: LiU-ITN-TEK-A--17/016--SEOAI: oai:DiVA.org:liu-138686DiVA, id: diva2:1112982
Subject / course
Electrical Engineering
Uppsok
Technology
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Examiners
Available from: 2017-06-21 Created: 2017-06-21 Last updated: 2017-06-21Bibliographically approved

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CiteExportLink to record
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