Kalman Filter - 5 Minutes with Cyrill

The Kalman filter explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2020

Credits:
Video by Cyrill Stachniss
Intro music by The Brothers Records

Further reading:

[starcin]

Years ago, I've sent you an email that I couldn't grasp the concept of GMapping and you replied with information and papers. As a random researcher on the internet, I wasn't expecting that kind of response. Thank you again for taking time to reply that email. Even my professors were surprised when I said them that I casually emailed the professor who wrote the GMapping and got a response :)

[YerZero]

This is the shortest video explaining Kalman filters on YouTube, and does the best job at it!

[phogbinh]

Sir, I see that you have become so much thinner than you five years ago (been watching your 2014-2015 SLAM course). I hope that you will stay strong and healthy. Thank you for your kindheartedness in sharing knowledge. God bless you.

[jpark]

This was the most straightforward explanation about Kalman filter I have ever seen, very clear explanation thanks

[serkantan]

This is the optimal explanation of the Kalman filter in the Youtube world. Thanks so much!

[tarunkumar]

such an under-rated channel. This got me the birdview that I could never grasp via other tools. Dr. Cyrill you are doing a great self-less job

[rotad]

Great explanation!! Best short one I've ever heard!!! Thanks!!!

[MurrayMD]

Thank you, Cyrill for your explanation! I recently became interested in using KFs in day trading and finding a good overview like this one seems to be the hardest step in the whole process. But mission accomplished, and greatly appreciated!

[emidio]

Hi Cyrill, very nice format of the new videos, in the past you helped me a lot with the photogrammetry series!!! thanks for share!!

[ramanasubramanyam]

Really appreciate your effort in short summaries, quite useful in revising lectures! Thank you

[CarlosOrtiz-htrn]

Thank you Sir for allowing me to have such a great resource to learn this new technology.

[ashleybradford]

You really are a great teacher. This is complex stuff and you make it compelling. Also, great classroom presence. Learning a ton from you, thank you!

[inteligenciaartificiuau]

Amazing video; short e direct. Thanks.

[rubikalgo]

Kalman + locally weighted scatterplot smoothing.

[weitongwu]

Wonderful Series! Professor, I am your fans.

[MojtabaSKY]

Very nice, simple, and clear explanation. 👍

[oskarwesterlund]

Hi, thank you for your great videos! Do you have any educational videos regarding the performance of EKF or EIF?

[faheemrehman]

Hello, thank you for a useful video. I would like to ask a very simple question regarding using Kalman Filter for autonomous vehicles. I always get confused about how the two aspects go aside. That is the correction after prediction where one is linked to the system's model and other to the state measurement. For instance, if the system's model has uncertainties and the measured readings by sensors have noise how does Kalman Filter decide on the correct state values?
Kind regards

[jjalgu]

really amazing lecture. short but very informative videos

[sarahjamal]

I love such videos such a genius useful idea.