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4
votes
Accepted
How to choose the "best" measurment (from a given set) as input for a kalman filter?
only residual but also uncertainty and represented as scalar value:
$$\mathcal{L} = \frac{1}{\sqrt{2\pi S}}\exp [-\frac{1}{2}\mathbf y^\mathsf T\mathbf S^{-1}\mathbf y]$$
Problem: For an object tracking … of methods (you can google it and find more information):
- Global nearest neighbour (in Euclidean space);
- Global strongest neighbour;
- Joint probability data association;
- Multiple hypothesis tracking …
0
votes
Structuring Kalman filter for tracking problem where only position is known
I'm new to Kalman filters
I'm new too.
I have no other information (for example, regarding velocity or acceleration).
This is a common situation.
The path of the target is completely random as it …