I have watched all 4 videos up to this point and you have done an excellent job of teaching the Kalman filter. It's a shame these videos are not getting more views - they deserve more attention. Well done.
Wonderful job , I have two question please clarify . 1) How to calculate the Rt and Qt noise ? 2) How to find both model is linear or not ? I am a beginner hear please suggest any resources or clarify my doubt here . Thank you so much for your amazing work .
I have watched all 4 videos up to this point and you have done an excellent job of teaching the Kalman filter. It's a shame these videos are not getting more views - they deserve more attention. Well done.
Glad to be of help :)
Again a wonderful video😍. Loved it, waiting for next........
Thanks a lot Sharad for taking time and creating this wonderful content. Will be waiting for the next part.😎
Credit goes equally to Mathias!
Thank you for watching, Rahul :)
Great content. Waiting for the next lecture
Wonderful job , I have two question please clarify . 1) How to calculate the Rt and Qt noise ? 2) How to find both model is linear or not ? I am a beginner hear please suggest any resources or clarify my doubt here . Thank you so much for your amazing work .
Following.
In addition, I would also like to ask how the process covariance matrix is initialised. Thanks!