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

Handle URI:
http://hdl.handle.net/10754/564912
Title:
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, Nathaniel Oren; Calo, Victor M. ( 0000-0002-1805-4045 ) ; Claudel, Christian G. ( 0000-0003-0702-6548 )
Abstract:
Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, flash flood events are particularly deadly because of the short timescales on which they occur. Unmanned air vehicles equipped with mobile microsensors could be capable of sensing flash floods in real time, saving lives and greatly improving the efficiency of the emergency response. However, of the main issues arising with sensing floods is the difficulty of planning the path of the sensing agents in advance so as to obtain meaningful data as fast as possible. In this particle, we present a fast numerical scheme to quickly compute the trajectories of a set of UAVs in order to maximize the accuracy of model parameter estimation over a time horizon. Simulation results are presented, a preliminary testbed is briefly described, and future research directions and problems are discussed. © 2014 IEEE.
KAUST Department:
Electrical Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Numerical Porous Media SRI Center (NumPor); Distributed Sensing Systems Laboratory (DSS)
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 International Conference on Unmanned Aircraft Systems (ICUAS)
Conference/Event name:
2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
Issue Date:
May-2014
DOI:
10.1109/ICUAS.2014.6842239
Type:
Conference Paper
ISBN:
9781479923762
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Electrical 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, Nathaniel Orenen
dc.contributor.authorCalo, Victor M.en
dc.contributor.authorClaudel, Christian G.en
dc.date.accessioned2015-08-04T07:24:55Zen
dc.date.available2015-08-04T07:24:55Zen
dc.date.issued2014-05en
dc.identifier.isbn9781479923762en
dc.identifier.doi10.1109/ICUAS.2014.6842239en
dc.identifier.urihttp://hdl.handle.net/10754/564912en
dc.description.abstractFloods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, flash flood events are particularly deadly because of the short timescales on which they occur. Unmanned air vehicles equipped with mobile microsensors could be capable of sensing flash floods in real time, saving lives and greatly improving the efficiency of the emergency response. However, of the main issues arising with sensing floods is the difficulty of planning the path of the sensing agents in advance so as to obtain meaningful data as fast as possible. In this particle, we present a fast numerical scheme to quickly compute the trajectories of a set of UAVs in order to maximize the accuracy of model parameter estimation over a time horizon. Simulation results are presented, a preliminary testbed is briefly described, and future research directions and problems are discussed. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleOptimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applicationsen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentNumerical Porous Media SRI Center (NumPor)en
dc.contributor.departmentDistributed Sensing Systems Laboratory (DSS)en
dc.identifier.journal2014 International Conference on Unmanned Aircraft Systems (ICUAS)en
dc.conference.date27 May 2014 through 30 May 2014en
dc.conference.name2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014en
dc.conference.locationOrlando, FLen
kaust.authorGhommem, Mehdien
kaust.authorCollier, Nathaniel Orenen
kaust.authorCalo, Victor M.en
kaust.authorClaudel, Christian G.en
kaust.authorAbdelkader, Mohameden
kaust.authorShaqura, Mohammaden
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