• DocumentCode
    3074978
  • Title

    Detecting and locating cell phone signals from avalanche victims using unmanned aerial vehicles

  • Author

    Wolfe, Victor ; Frobe, William ; Shrinivasan, Vineetha ; Tsung-Yen Hsieh

  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    704
  • Lastpage
    713
  • Abstract
    Scores of avalanche injuries and fatalities occur annually. This research presents an avalanche search and rescue (SAR) proof-of-concept option that utilizes a small unmanned aerial vehicle (UAV) helicopter with a payload capable of detecting and locating a buried victim´s cell phone. Cell phones involved in this research were modern-day fourth generation (4G) Long Term Evolution (LTE) devices with an application specifically designed for potential SAR detection. This study focused primarily on radio frequency (RF) propagation modeling through snow and air. The analysis and associated field trials demonstrate that it is feasible to detect these cell phone devices through avalanche debris up to 7 feet deep. Alpine UAS inclement flight demonstrations were also conducted. Although many studies have been published on detecting the position of mobile cellular devices, this is the first of its kind to quantify the detection of a cell phone that is buried under the snow.
  • Keywords
    Long Term Evolution; autonomous aerial vehicles; emergency management; helicopters; mobile robots; signal detection; smart phones; synthetic aperture radar; 4G LTE device; RF propagation modelling; SAR detection; UAV helicopter; avalanche search and rescue; cell phone signal detection; fourth generation Long Term Evolution device; radio frequency; smart phone; unmanned aerial vehicle; Accuracy; Helicopters; Long Term Evolution; Smart phones; Snow; Streaming media; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152353
  • Filename
    7152353