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

Mohamed Abdelkader, Mohammad Shaqura, Mehdi Ghommem, Nathan Collier, Victor Calo, Christian Claudel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

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.

Original languageEnglish
Title of host publication2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
PublisherIEEE Computer Society
Pages64-71
Number of pages8
ISBN (Print)9781479923762
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Orlando, FL, United States
Duration: May 27 2014May 30 2014

Publication series

Name2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings

Conference

Conference2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
Country/TerritoryUnited States
CityOrlando, FL
Period05/27/1405/30/14

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