• DocumentCode
    1790759
  • Title

    Cavalry to the rescue: Drones fleet to help rescuers operations over disasters scenarios

  • Author

    Camara, Daniel

  • Author_Institution
    Inst. Mines-Telecom, Telecom ParisTech., Alpes Maritimes, France
  • fYear
    2014
  • fDate
    16-19 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a drone based solution to help on the search and rescue activities over disaster scenarios. The proposed architecture is composed of specialized drones to accomplish specific tasks and an internal modules organization to grant they will be able to accomplish their objectives. Among the tasks we believe drones could excel performing over disaster scenarios we can highlight: providing a temporary communication structure, creating up-to-date maps of the affected region and searching for hot spots where the rescue teams may have more chances of finding victims. For example, drones may be equipped with infrared cameras, deep penetration radars, or even detect the radio signal from portable devices. All these activities require specific competences, and thus more than one kind of drone and sensor equipment are required to accomplish all of them. This drone based fleet, to be efficient and useful in the terrain needs to be autonomous and capable of self-organization.
  • Keywords
    disasters; image sensors; infrared imaging; rescue robots; signal detection; deep penetration radars; disasters; infrared cameras; internal modules organization; rescue cavalry; rescue operations; specialized drones to; temporary communication structure; up-to-date maps; Command and control systems; Computer architecture; Mobile communication; Organizations; Performance evaluation; Planning; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
  • Conference_Location
    Antibes Juan-les-Pins
  • Type

    conf

  • DOI
    10.1109/CAMA.2014.7003421
  • Filename
    7003421