Volker Strobel Deleted File  almost 8 years ago

Commit id: 7d70abbfd871d4ef19c4ea8c58d4114123a09c9d

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\section{Synthetic Data Generation}  \label{sec:syntheticdatageneration}  Acquiring data for machine learning methods is usually time-consuming. A viable alternative seems to be the   use of synthetic data. However, their applicability in real-world situations is still hindered by  the reality gap---the difference between simulations and  real-world situations. The gap can manifest itself in different  lighting conditions, resolutions, or blur or process noise, like wind,  or air resistance.