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Towards Drone-Assisted Large-Scale Disaster Response and Recovery

Authors:
Michael Spranger
Florian Heinke
Sven Becker
Dirk Labudde

Keywords: unmanned aerial vehicle; resilience engineering; open source; 3D reconstruction

Abstract:
Major damaging events with many victims or environmental contamination hazards, such as natural disasters, airplane crashes, train accidents or terroristic acts, are shocking events to society. Fast and comprehensive information acquisition of event sites ensures appropriate and safe actions for rescue forces and investigators, and increases resilience of our society with respect to such disorders in the long term. The use of unmanned aerial vehicles, so-called drones, for gathering as much information as possible about the event site to support the whole resilience cycle is a fast and safe way to elucidate such unknown environments. Therefore, an application framework is currently developed by the authors, which aims at supporting decision makers with respect to targeted and safe management of rescue teams and the fast locating of victims, as well as 3D spatiotemporal modeling and simulation of events for forensic purposes. In this work, we present a process chain for 3D reconstruction of event sites using aerial photogrammetry and open source software.

Pages: 5 to 10

Copyright: Copyright (c) IARIA, 2016

Publication date: May 22, 2016

Published in: conference

ISSN: 2519-8459

ISBN: 978-1-61208-481-7

Location: Valencia, Spain

Dates: from May 22, 2016 to May 26, 2016