I am working on the development of a simulator to generate synthetic data for low-level vision tasks. All you need to know is that a simulator moves multiple foregrounds over a background. I am using Bezier curves as trajectories with randomly picked control points. However, I would like to add more complex trajectories than just a smooth Bezier curve. For example, foreground stopping and changing direction, accelerating and decelerating. Can you think of more examples of physically realistic trajectories and how to create them, please let me know.
Use a queue of points data structure. Move stepwise toward the barycenter of the points within the queue. Occasionally insert a target point into the queue. Insert the same target point multiple times, to accumulate more weight to it, and forget older target points by removing them from the queue. After a while you can randomly choose new target points. The queue contents look like:
Hi Mirlan,
May be NURBS would suit your goal. Take a look e.g. here
Conference Paper NURBs trajectory generation and following by an autonomous m...
Regards,
Evgeny
It's difficult to suggest a way to make more realistic trajectory for "something" when you cannot say what the physical "something" is. For example, to make realistic drone trajectories, one would have to know parameters like maximum speed, acceleration, etc of the vehicle. The realism comes when the rubber meets the road and you only told us about the rubber...
Article Deep generative modelling of aircraft trajectories in termin...
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