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dc.contributor.authorAbdelkader, Mohamed
dc.contributor.authorShaqura, Mohammad
dc.contributor.authorGhommem, Mehdi
dc.contributor.authorCollier, Nathan O.
dc.contributor.authorCalo, Victor M.
dc.contributor.authorClaudel, Christian G.
dc.date.accessioned2015-08-04T07:24:17Z
dc.date.available2015-08-04T07:24:17Z
dc.date.issued2014-04
dc.identifier.isbn9781479949311
dc.identifier.doi10.1109/ICCPS.2014.6843725
dc.identifier.urihttp://hdl.handle.net/10754/564891
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleWiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
dc.typeConference Paper
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentDistributed Sensing Systems Laboratory (DSS)
dc.identifier.journal2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)
dc.conference.date14 April 2014 through 17 April 2014
dc.conference.name5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014
dc.conference.locationBerlin
kaust.personClaudel, Christian G.
kaust.personAbdelkader, Mohamed
kaust.personShaqura, Mohammad


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