Learning to predict wind flows for fixed-wing UAVs

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Starting Date: earliest start: (2018-04-18) latest end: (2018-12-31)

Organization: Autonomous Systems Lab

Involved Host(s): Lawrance Nicholas

Abstract: This project will aim towards development of fast, accurate simulation approaches for predicting spatially-varying wind fields on-board a UAV.

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machine learning fluid dynamics physics simulation unmanned aerial vehicles deep learning

Labels: Semester Project Master Thesis CLS Student Project (MPG ETH CLS)
Topics: Information, Computing and Communication Sciences Engineering and Technology