A UAV Search and Rescue Scenario with Human Body Detection and Geolocalization

  • Patrick Doherty
  • Piotr Rudol
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4830)


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.


Unmanned Aerial Vehicle Rescue Scenario Plan Executor Task Planner Execution Monitor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Patrick Doherty
    • 1
  • Piotr Rudol
    • 1
  1. 1.Department of Computer and Information Science, Linköping University, SE-58183 LinköpingSweden

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