Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces
| dc.contributor.author | Ruf, Boitumelo | |
| dc.date.accessioned | 2023-01-16T10:14:00Z | |
| dc.date.available | 2023-01-16T10:14:00Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/60668 | |
| dc.description.abstract | 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. | en_US |
| dc.language | English | en_US |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building | en_US |
| dc.subject.other | Luftbildauswertung; Unbemannte Luftfahrzeuge; Umfelderfassung; 3D-Kartierung; Katastrophenhilfe; Aerial Reconnaissance; Unmanned Aerial Vehicles; Environment Perception; 3D Mapping; Disaster Relief | en_US |
| dc.title | Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces | en_US |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000149436 | en_US |
| oapen.relation.isPublishedBy | 44e29711-8d53-496b-85cc-3d10c9469be9 | en_US |
| oapen.pages | 240 | en_US |
