TY - GEN
T1 - Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
AU - Abdelkader, Mohamed
AU - Shaqura, Mohammad
AU - Ghommem, Mehdi
AU - Collier, Nathan
AU - Calo, Victor
AU - Claudel, Christian
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84904554500&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2014.6842239
DO - 10.1109/ICUAS.2014.6842239
M3 - Conference contribution
AN - SCOPUS:84904554500
SN - 9781479923762
T3 - 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
SP - 64
EP - 71
BT - 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
PB - IEEE Computer Society
T2 - 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
Y2 - 27 May 2014 through 30 May 2014
ER -