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
Link To Document :
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