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dc.contributor.authorRuf, Boitumelo
dc.date.accessioned2025-03-07T19:48:37Z
dc.date.available2025-03-07T19:48:37Z
dc.date.issued2023
dc.date.submitted2023-01-16T10:14:00Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/60668
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/164507
dc.description.abstractThis work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based reconnaissance. It proposes a framework that consists of two parts and relies on the integrated stereo vision sensor and the visual payload camera of the UAV to execute three high-level applications that aim at facilitating first responders in disaster relief missions.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
dc.subject.otherLuftbildauswertung; Unbemannte Luftfahrzeuge; Umfelderfassung; 3D-Kartierung; Katastrophenhilfe; Aerial Reconnaissance; Unmanned Aerial Vehicles; Environment Perception; 3D Mapping; Disaster Relief
dc.titleFast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces
dc.typebook
oapen.identifier.doi10.5445/KSP/1000149436
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731512295
oapen.collectionAG Universitätsverlage
oapen.pages240
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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