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

dc.relation.isnodouble51644*
dc.contributor.authorAbdelkader, M.
dc.contributor.authorShaqura, M.
dc.contributor.authorGhommem, M.
dc.contributor.authorCollier, N.
dc.contributor.authorCalo, Victor
dc.contributor.authorClaudel, C.
dc.date.accessioned2017-03-24T11:53:48Z
dc.date.available2017-03-24T11:53:48Z
dc.date.created2017-03-23T06:59:54Z
dc.date.issued2014
dc.identifier.citationAbdelkader, M. and Shaqura, M. and Ghommem, M. and Collier, N. and Calo, V. and Claudel, C. 2014. WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. International Conference on Cyber-Physical Systems (ICCPS), 14-17 April 2014. ACM/IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51518
dc.identifier.doi10.1109/ICCPS.2014.6843725
dc.description.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.
dc.titleWiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
dc.typeConference Paper
dcterms.source.title2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014
dcterms.source.series2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014
dcterms.source.isbn9781479949311
curtin.departmentDepartment of Applied Geology
curtin.accessStatusFulltext not available


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