• DocumentCode
    2667573
  • Title

    Coordinated Search with a Swarm of UAVs

  • Author

    Waharte, Sonia ; Trigoni, Niki ; Julier, Simon J.

  • Author_Institution
    Comput. Lab., Univ. of Oxford, Oxford, UK
  • fYear
    2009
  • fDate
    22-26 June 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Search is a fundamental task for wilderness search and rescue that can greatly benefit from the use of a swarm of autonomous UAVs to survey the environment. The benefits are maximised if the UAVs coordinate their search activities with one another. In this poster, we present our preliminary work on developing coordination strategies for multiple UAVs. It is based on a distributed, grid-based probabilistic environmental model. We discuss the practicalities of the search task, present a simplified mathematical model of the environment and sensors, and present some preliminary simulation-based results. These clearly illustrate, even in a highly simplified case, the great benefits of coordinated search.
  • Keywords
    aircraft; control engineering computing; grid computing; multi-robot systems; remotely operated vehicles; UAVs; grid-based probabilistic environmental model; unmanned aerial vehicles; wilderness search and rescue; Cameras; Control systems; Educational institutions; Helicopters; Mathematical model; Navigation; Payloads; Sensor systems; Surveillance; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops '09. 6th Annual IEEE Communications Society Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-3938-6
  • Type

    conf

  • DOI
    10.1109/SAHCNW.2009.5172925
  • Filename
    5172925