> As far as i understand, Kalman Filters seem to be a moving average of position, velocity, and (perhaps) acceleration, and use those 3 values to estimate the 'real value' as opposed to what the sensor is telling you.
Sort of. The actual variables (v, r, a in your case) vary depending on your use case. What matters is you make an estimate based on that state, then you take a measurement and there’s an iterative way of adjusting your next state based on those two. It’s actually pretty easy to code once you understand formulas.
Sort of. The actual variables (v, r, a in your case) vary depending on your use case. What matters is you make an estimate based on that state, then you take a measurement and there’s an iterative way of adjusting your next state based on those two. It’s actually pretty easy to code once you understand formulas.
Maybe this could help http://bilgin.esme.org/BitsAndBytes/KalmanFilterforDummies