LiU Electronic Press
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Author:
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Rudol, Piotr (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
A UAV search and rescue scenario with human body detection and geolocalization
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the 20th Australian Joint Conference on Artificial Intelligence (AI)
Publisher: Springer Berlin/Heidelberg
Year of publ.:
2007
URI:
urn:nbn:se:liu:diva-40872
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-40872
ISBN:
978-3-540-76926-2
Local ID:
54442
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

The use of Unmanned Aerial Vehicles (UAVs) which can operate autonomously in dynamic and complex operational environments is becoming increasingly more common. The UAVTech Lab, is pursuing a long term research endeavour related to the development of future aviation systems which try and push the envelope in terms of using and integrating high-level deliberative or AI functionality with traditional reactive and control components in autonomous UAV systems. In order to carry on such research, one requires challenging mission scenarios which force such integration and development. In this paper, one of these challenging emergency services mission scenarios is presented. It involves search and rescue for injured civilians by UAVs. In leg I of the mission, UAVs scan designated areas and try to identify injured civilians. In leg II of the mission, an attempt is made to deliver medical and other supplies to identified victims. We show how far we have come in implementing and executing such a challenging mission in realistic urban scenarios.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2012-02-03
Statistics:
41 hits