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

Mohamed Abdelkader; Mohammad Shaqura; Mehdi Ghommem

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

Mohamed Abdelkader, Mohammad Shaqura and Mehdi Ghommem

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.212

01/04/2014

Abstract

Conference Title: 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) Conference Start Date: 2014, April 14 Conference End Date: 2014, April 17 Conference Location: Berlin, Germany 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. [PUBLICATION ABSTRACT]

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Title: WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
Creators - without role: Mohamed Abdelkader
Mohammad Shaqura
Mehdi Ghommem
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.212
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9944035808331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Conference proceeding