Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces
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...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Online |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
KIT Scientific Publishing
2023
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| Θέματα: | |
| Διαθέσιμο Online: | https://library.oapen.org/handle/20.500.12657/60668 |
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| _version_ | 1869518314406936576 |
|---|---|
| author | Ruf, Boitumelo |
| author_browse | Ruf, Boitumelo |
| author_facet | Ruf, Boitumelo |
| author_sort | Ruf, Boitumelo |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-96096 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-960962025-05-27T06:08:24Z 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. 2023-01-17T04:01:23Z 2023-01-17T04:01:23Z 2023-01-16T10:14:00Z 2023 book https://library.oapen.org/handle/20.500.12657/60668 9783731512295 https://directory.doabooks.org/handle/20.500.12854/96096 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/60668/1/fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf https://library.oapen.org/bitstream/20.500.12657/60668/1/fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf https://library.oapen.org/bitstream/20.500.12657/60668/1/fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf https://library.oapen.org/bitstream/20.500.12657/60668/1/fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf https://library.oapen.org/bitstream/20.500.12657/60668/1/fast-dense-depth-estimation-from-uav-borne-aerial-imagery-for-the-assistance-of-emergency-forces.pdf KIT Scientific Publishing 10.5445/KSP/1000149436 10.5445/KSP/1000149436 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512295 AG Universitätsverlage 240 open access |
| spellingShingle | 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 Ruf, Boitumelo Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title_full | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title_fullStr | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title_full_unstemmed | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title_short | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces |
| title_sort | fast dense depth estimation from uav borne aerial imagery for the assistance of emergency forces |
| topic | 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 |
| topic_facet | 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 |
| url | https://library.oapen.org/handle/20.500.12657/60668 |
| work_keys_str_mv | AT rufboitumelo fastdensedepthestimationfromuavborneaerialimageryfortheassistanceofemergencyforces |