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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations


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.
Original languageEnglish (US)
Title of host publication2014 International Conference on Unmanned Aircraft Systems (ICUAS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Print)9781479923762
StatePublished - May 2014


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