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

Abdelkader, M.; Shaqura, M.; Ghommem, M.; Collier, N.; Calo, Victor; Claudel, C.

doi:10.1109/ICCPS.2014.6843725

Access Status

Fulltext not available

Authors

Abdelkader, M.

Shaqura, M.

Ghommem, M.

Collier, N.

Calo, Victor

Claudel, C.

Date

2014

Type

Conference Paper

Metadata

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Citation

Abdelkader, 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.

Source Title

2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014

DOI

10.1109/ICCPS.2014.6843725

ISBN

9781479949311

School

Department of Applied Geology

URI

http://hdl.handle.net/20.500.11937/51518

Collection

Curtin Research Publications

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.