Hi! Could you explain the reason of multiplying the normal distributions of ''the predicted measurement'' and ''measurement''? What is the meaning behind this operation?
@@iamwangine8752 well, in nutshell, kf is weighted average, based on confident that you have on your hypothesis, confident means how big/ small is your covariance values, prediction comes from model, update comes from measurements, two hypothesis, find the weighed average, I'm making some high-quality videos for the channel but I also have a full time job...
Sorry man, you are right, I'm creating high quality videos with latex and soon I'll upload them and make a playlist, make sure to subscribe and hit the notification button to get notified,
Hi! Could you explain the reason of multiplying the normal distributions of ''the predicted measurement'' and ''measurement''? What is the meaning behind this operation?
does it miss a H_k term before the first P_k in the last formula the last slide? thanks
Please check my updated video, thanks ruclips.net/video/jn8vQSEGmuM/видео.html
@@Foo-i1v thanks:)
In the Gaussian formula at 6:59, don't you need to square the (x-mu) term?
true that, thanks for the correction
Hi,
Could you please explain Extended Kalman Filter (EKF) for navigation using ROS? Thanks in advance.
When you write and you can't talk in same moment is a sign of copy/paste. At least you know what is all about
Im reading from my hand note off camera, try to make a 15 minutes video without script and no editing you will see that's not easy
i didn't say is easy , i says the same thing and i add " at lest you know what is all about to explain it "
@@iamwangine8752 well, in nutshell, kf is weighted average, based on confident that you have on your hypothesis, confident means how big/ small is your covariance values, prediction comes from model, update comes from measurements, two hypothesis, find the weighed average, I'm making some high-quality videos for the channel but I also have a full time job...
what is F?
can't read your handwriting in certain areas. n mu, sigma... hard to read in certain spots to follow what you are doing.
Sorry man, you are right, I'm creating high quality videos with latex and soon I'll upload them and make a playlist, make sure to subscribe and hit the notification button to get notified,
I enjoyed your Bayesian filter better!