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dc.contributor.authorRuf, Boitumelo
dc.date.accessioned2023-01-17T04:01:23Z
dc.date.available2023-01-17T04:01:23Z
dc.date.issued2023
dc.date.submitted2023-01-16T10:14:00Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/60668
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/96096
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.otherLuftbildauswertung; Unbemannte Luftfahrzeuge; Umfelderfassung; 3D-Kartierung; Katastrophenhilfe; Aerial Reconnaissance; Unmanned Aerial Vehicles; Environment Perception; 3D Mapping; Disaster Relief
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
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.pages240


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