ABSTRACT
By using Unreal Engine for the creation of virtual environments we are able to simulate fire and flood scenarios with high accuracy and by using virtual UAVs we collect big virtual datasets. Mixing the virtual data with real-world data and training state-of-the-art machine learning models we hope to be able to detect real-world fires and floods with high precession.
LECTURER SHORT CV
Evangelos Spatharis is an undergraduate at the computer science department, faculty of sciences at the Aristotle University of Thessaloniki. Currently, his main research interests consist of creating virtual environments for data gathering and simulation, training and using state-of-the-art machine learning models and biosignal analysis.
VIDEO