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

Handle URI:
http://hdl.handle.net/10754/564891
Title:
WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
Authors:
Abdelkader, Mohamed ( 0000-0002-7099-9214 ) ; Shaqura, Mohammad; Ghommem, Mehdi; Collier, Nathan O.; Calo, Victor M. ( 0000-0002-1805-4045 ) ; Claudel, Christian G. ( 0000-0003-0702-6548 )
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.
KAUST Department:
Mechanical Engineering Program; Applied Mathematics and Computational Science Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Distributed Sensing Systems Laboratory (DSS)
Publisher:
Institute of Electrical & Electronics Engineers (IEEE)
Journal:
2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)
Conference/Event name:
5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014
Issue Date:
Apr-2014
DOI:
10.1109/ICCPS.2014.6843725
Type:
Conference Paper
ISBN:
9781479949311
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Electrical Engineering Program; Mechanical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAbdelkader, Mohameden
dc.contributor.authorShaqura, Mohammaden
dc.contributor.authorGhommem, Mehdien
dc.contributor.authorCollier, Nathan O.en
dc.contributor.authorCalo, Victor M.en
dc.contributor.authorClaudel, Christian G.en
dc.date.accessioned2015-08-04T07:24:17Zen
dc.date.available2015-08-04T07:24:17Zen
dc.date.issued2014-04en
dc.identifier.isbn9781479949311en
dc.identifier.doi10.1109/ICCPS.2014.6843725en
dc.identifier.urihttp://hdl.handle.net/10754/564891en
dc.description.abstractFloods 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.en
dc.publisherInstitute of Electrical & Electronics Engineers (IEEE)en
dc.titleWiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applicationsen
dc.typeConference Paperen
dc.contributor.departmentMechanical Engineering Programen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentDistributed Sensing Systems Laboratory (DSS)en
dc.identifier.journal2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)en
dc.conference.date14 April 2014 through 17 April 2014en
dc.conference.name5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014en
dc.conference.locationBerlinen
kaust.authorClaudel, Christian G.en
kaust.authorAbdelkader, Mohameden
kaust.authorShaqura, Mohammaden
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