09. State Prediction
State Prediction
The State Transition Matrix
As a reminder, the above equation is x' = Fx + noise
Motion noise and process noise refer to the same case: uncertainty in the object's position when predicting location. The model assumes velocity is constant between time intervals, but in reality we know that an object's velocity can change due to acceleration. The model includes this uncertainty via the process noise.
Measurement noise refers to uncertainty in sensor measurements, which will be discussed in more detail later.
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SOLUTION:
A time difference of 5s leads to a higher uncertainty.asdf
SOLUTION:
Process noiseFrom the examples I’ve just showed you we can clearly see that the process noise depends on both: the elapsed time and the uncertainty of acceleration. So, how can we model the process noise by considering both of these factors? Keep going to find out :)