fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf

This 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...

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Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2023
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000149436
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spelling oapen-20.500.12657-606682024-03-27T14:15:04Z Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces Ruf, Boitumelo Luftbildauswertung; Unbemannte Luftfahrzeuge; Umfelderfassung; 3D-Kartierung; Katastrophenhilfe; Aerial Reconnaissance; Unmanned Aerial Vehicles; Environment Perception; 3D Mapping; Disaster Relief thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building This 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. 2023-01-16T10:14:00Z 2023-01-16T10:14:00Z 2023 book https://library.oapen.org/handle/20.500.12657/60668 eng application/pdf Attribution-ShareAlike 4.0 International fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf https://doi.org/10.5445/KSP/1000149436 KIT Scientific Publishing 10.5445/KSP/1000149436 10.5445/KSP/1000149436 44e29711-8d53-496b-85cc-3d10c9469be9 240 open access
institution OAPEN
collection DSpace
language English
description This 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.
title fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
spellingShingle fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
title_short fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
title_full fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
title_fullStr fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
title_full_unstemmed fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
title_sort fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf
publisher KIT Scientific Publishing
publishDate 2023
url https://doi.org/10.5445/KSP/1000149436
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