• DocumentCode
    165276
  • Title

    WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

  • Author

    Abdelkader, Mohamed ; Shaqura, Mohammad ; Ghommem, Mehdi ; Collier, Nicholson ; Calo, Victor ; Claudel, Christian

  • fYear
    2014
  • fDate
    14-17 April 2014
  • Firstpage
    212
  • Lastpage
    212
  • Abstract
    Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task.
  • Keywords
    autonomous aerial vehicles; multi-agent systems; path planning; UAV--based flood sensing; fast inverse modeling; flash flood monitoring system; natural disaster; optimal multiagent path planning; unmanned aerial vehicle; Ash; Chaos; Microsensors; Monitoring; Robot sensing systems; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2014 ACM/IEEE International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-4931-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2014.6843725
  • Filename
    6843725