real time estimation

Data Assimilation for Flood Real Time Estimation: Challenges and Methods

Prof. Christian Claudel, The University of Texas at Austin

Nov 28, 13:15 - 14:00

B2 5220

data assimilation real time estimation

Abstract Flash floods are one of the most common natural disasters worldwide, causing thousands of casualties every year. A combination of fixed and mobile sensors can be used to track these events. In particular, the emergence of Unmanned Aerial Vehicles (UAVs) could enable the monitoring of floods over large geographical areas. In this talk, we focus on the problems of sensing, data assimilation, and trajectory planning for a swarm of mobile agents (for example UAVs) sensing floods We first show that deep-learning can efficiently approximate the flood evolution over time, given external