Learning to estimate UAV created turbulence from scene structure observed by onboard cameras

Controlling UAV flights precisely requires a realistic dynamic model and accurate state estimates from onboard sensors like UAV, GPS and visual observations. Obtaining a precise dynamic model is extremely difficult, as important aerodynamic effects are hard to model, in particular ground effect and...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Possamaï, Quentin, Steeven Janny, Nadri, Madiha, Bako, Laurent, Wolf, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Barriers Cameras Datasets Dynamic models Ground effect (aerodynamics) Machine learning Simulation Turbulence Visual observation
Online-Zugang:	Volltext
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