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dc.contributor.authorXiang, Yusheng
dc.date.accessioned2025-03-07T17:38:29Z
dc.date.available2025-03-07T17:38:29Z
dc.date.issued2022
dc.date.submitted2022-06-27T09:34:44Z
dc.identifierOCN: 1348378763
dc.identifierhttps://library.oapen.org/handle/20.500.12657/57094
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/160432
dc.description.abstractInfrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.otherSmart Working Site; Multi Working Machine Pathfinding Algorithm; Multivariable Time Series Classification Algorithm; SLAM; 5G; IEEE 802.11p
dc.titleAI and IoT Meet Mobile Machines
dc.title.alternativeTowards a Smart Working Site
dc.typebook
oapen.identifier.doi10.5445/KSP/1000143073
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511656
oapen.collectionAG Universitätsverlage
oapen.pages296
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.seriesnumber7
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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