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  4. Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces
 
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2023
Doctoral Thesis
Title

Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces

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.
Thesis Note
Zugl.: Karlsruhe, Karlsruher Institut für Technologie (KIT), Diss., 2022
Author(s)
Ruf, Boitumelo  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Advisor(s)
Hinz, Stefan
Nex, Francesco
Publisher
KIT Scientific Publishing  
DOI
10.5445/KSP/1000149436
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Luftbildauswertung

  • Unbemannte Luftfahrzeuge

  • Umfelderfassung

  • 3D-Kartierung

  • Katastrophenhilfe

  • Aerial Reconnaissance

  • Unmanned Aerial Vehicles

  • Environment Perception

  • 3D Mapping

  • Disaster Relief

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