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dc.contributor.authorMaier, Georg
dc.date.accessioned2025-03-07T13:30:13Z
dc.date.available2025-03-07T13:30:13Z
dc.date.issued2022
dc.date.submitted2022-06-27T09:39:03Z
dc.identifierOCN: 1348380372
dc.identifierhttps://library.oapen.org/handle/20.500.12657/57095
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/152443
dc.description.abstractSensor-based sorting enables the separation of individual particles from a material stream. In this work, a novel sorting system using an area-scan camera is investigated. The use of high-speed cameras raises exciting research questions from a computer science perspective regarding the extraction and use of more advanced features, especially motion information about the materials to be sorted.
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.otherSichtprüfung; sensorgestützte Sortierung; Multiobjekt-Tracking; Klassifikation; Optical inspection; sensor-based sorting; multiobject tracking; classification
dc.titleBildfolgenbasierte Gewinnung und Nutzung partikelindividueller Bewegungsinformation in der optischen Schüttgutsortierung
dc.typebook
oapen.identifier.doi10.5445/KSP/1000145967
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511922
oapen.collectionAG Universitätsverlage
oapen.pages246
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
dc.seriesnumber8
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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open access
Except where otherwise noted, this item's license is described as open access