Nd787 C4 L3 10 Kalman Predict V1 V1
After prediction will we have more or less uncertainty about the state?
More uncertainty
Less uncertainty
A drone estimates its height as a Gaussian with a mean of 1 and variance of 0.25: \mathcal{N}(\mu=1, \sigma^2 = 0.25) . It's moving upwards at 1 m/s. After one second, what is it's estimate after prediction?
\mathcal{N}(\mu=1, \sigma^2 = 0.25)
\mathcal{N}(\mu=2, \sigma^2 = 0.25)
\mathcal{N}(\mu=2, \sigma^2 < 0.25)
\mathcal{N}(\mu=2, \sigma^2 > 0.25)
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