WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
Access Status
Fulltext not available
Authors
Abdelkader, M.
Shaqura, M.
Ghommem, M.
Collier, N.
Calo, Victor
Claudel, C.
Date
2014Type
Conference Paper
Metadata
Show full item recordCitation
Abdelkader, M. and Shaqura, M. and Ghommem, M. and Collier, N. and Calo, V. and Claudel, C. 2014. WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. International Conference on Cyber-Physical Systems (ICCPS), 14-17 April 2014. ACM/IEEE.
Source Title
2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014
ISBN
School
Department of Applied Geology
Collection
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. © 2014 IEEE.