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

Mohamed Abdelkader; Mohammad Shaqura; Mehdi Ghommem; Nathan O. Collier; Victor M. Calo; Christian G. Claudel

doi:10.1109/ICCPS.2014.6843725

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

Mohamed Abdelkader, Mohammad Shaqura, Mehdi Ghommem, Nathan O. Collier, Victor M. Calo, Christian G. Claudel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781479949311
DOIs	https://doi.org/10.1109/ICCPS.2014.6843725
State	Published - Apr 2014

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KAUST Repository Item: Exported on 2020-10-01

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10.1109/ICCPS.2014.6843725

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Abdelkader, M., Shaqura, M., Ghommem, M., Collier, N. O., Calo, V. M., & Claudel, C. G. (2014). WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. In 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCPS.2014.6843725

@inproceedings{91cf3b03c9c74829b969fabc9ad0eccd,

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

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. {\textcopyright} 2014 IEEE.",

author = "Mohamed Abdelkader and Mohammad Shaqura and Mehdi Ghommem and Collier, {Nathan O.} and Calo, {Victor M.} and Claudel, {Christian G.}",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2014",

month = apr,

doi = "10.1109/ICCPS.2014.6843725",

language = "English (US)",

isbn = "9781479949311",

booktitle = "2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Abdelkader, M, Shaqura, M, Ghommem, M, Collier, NO, Calo, VM & Claudel, CG 2014, WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. in 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCPS.2014.6843725

WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. / Abdelkader, Mohamed; Shaqura, Mohammad; Ghommem, Mehdi et al.
2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS). Institute of Electrical and Electronics Engineers (IEEE), 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

AU - Abdelkader, Mohamed

AU - Shaqura, Mohammad

AU - Ghommem, Mehdi

AU - Collier, Nathan O.

AU - Calo, Victor M.

AU - Claudel, Christian G.

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N2 - 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.

AB - 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.

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U2 - 10.1109/ICCPS.2014.6843725

DO - 10.1109/ICCPS.2014.6843725

M3 - Conference contribution

SN - 9781479949311

BT - 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

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

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