![](bg8.png)
of 3D waypoints are generated. By selecting the de-
sired camera model with known camera parameters,
the trajectories can be projected to the observer’s per-
spective. To demonstrate the applicability of the syn-
thetic trajectory data, we show that an RNN-MDN
prediction model solely trained on the synthetically
generated data is able to outperform classic reference
models on a real-world UAV tracking dataset.
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