Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?

[@nurbekhalikulov8867]

May God bless the author, the creator, the supporters, everyone who has contributed for the generation of this video. Thanks a lot!

[@Ahmad-gn1pd]

Really you are the boss in this field, Welcome back 👌

[@GoodVolition]

"Where am I? What am I doing? And what state am I in?" Are questions I often ask myself when I wake up hungover.

[@TauvicRitter]

Very interesting series. Im working on a car project using acceleration, velocity, location and camera vision. Sensor noise is one of the issues. so i will follow the series. Thanks

[@leadeeeeer]

Thanks :) I was waiting for this series in sensor fusion and kalman filtering

[@Sal19]

Hi Brian, thanks for taking the time to make the videos, they're very helpful. But I was wondering if you could provide me with some references to the subject of system Identification methods (books or videos). Thank you in advance.

[@ranjanpal7217]

Great explanation, amazing insights!

[@xaviergonzalez5828]

Thank you, Sir! I get you at 100%.

[@susheelsriramananthan4456]

Please add the link for Kalman filter series. ThankYou

[@BrianBDouglas]

Yep, looks like all of the reference links were left off :( I'll ask MATLAB to add them back in. Thanks for letting me know!

[@arifeazman1067]

brian thank you so much i am following control theory lessons and i hope there are more videos on sensor fusion topic

[@BrianBDouglas]

There are 5 videos on sensor fusion and tracking. The 3rd will post tomorrow and then the last two early next week.

[@ahmedayman8369]

Brilliant. Absolutely brilliant. You're a life saver mate.

[@nagesh007]

Awesome , Thanks

[@MATLAB]

Thanks for watching! Glad you liked it.

[@RZtronics]

Thank You!!

[@ebenezerfagundes1001]

Excellent Video! Thanks!

[@joefarnsworth5496]

A+ would watch again

[@hero96559]

Does the IMM filter effect on SNET calculations?

[@김동규-b3y5p]

Thank you!

[@abdullahal-hashar]

Hello Brian really appreciate your video, it's really awesome also I need your recommendation, please my professor refused my advice to use the Kalman filter for fusion IMU sensors because it's an old algorithm. and since the update is one of our research scopes, I have to fully prove that Kalman is the best in light of computation and time or I have to find an alternative algorithm. so please recommend me to answer, is Kalman is the best (there is particle filter i think it works for fusion) and how to proof (it's good if supported by paper's referenced) or what algorithm is suited, especially our research target is the localization and tracking the object. thanks for your sharing knowledge

[@abdullahal-hashar]

Any one have an idea 👆🏻👆🏻.plz

[@EriccoInertialsystem]

@@abdullahal-hashar we can talk about this.

[@GospodinJean]

Brian Doublas is THE Salman Khan (from Khan Academy) of Control System Theory

[@biswajitnaik5174]

hello sir, Can you guide me in topic of Localization of underwater AUV using kalman filter?

[@tombouie]

Well-Done

[@amin_muaddib]

Hey Brian! tnx as always! Is there a possibility that you can give us a map or flowchart of the control engineering branch? I've been working in this field for 2 years, using methods like LQR, Bang-Bang, Fuzzy and etc and I'm still a bit dizzy when it comes to explaining it simply or making a big picture of it. Some divide it into classic and modern, or intelligent and non-intelligent. Again thanks for simplifying the concepts!:)

[@BrianBDouglas]

It was hard for me also to find a mental structure that can help make sense of the entire field of control engineering. Other divides could be model-free or model-based control, frequency or time domain, discrete or continuous, suboptimal or optimal, nonlinear or linear, and variable structure or fixed structure. I'm working on a way that I think describes everything in a convenient and understandable way (hopefully, anyway!). It's probably a few months out still.

[@amin_muaddib]

@@BrianBDouglas wow great! ok thank you very much👍

[@EmirFaruk]

perfect video!

[@adrianarroyo9839]

I might have arrived late to this video, but how does the author do the drawings? What software is he using? TY!

[@dragonunstopable7331]

can you please introduce the articles this video is based on?

[@truongannguyen9253]

Hi Brian, Can you suggest me some textbook about this topic. Thank you !

[@muchadoaboutnothingg]

B Doug brought me here

[@hl-qz1ec]

"Fusing sensors together reduces the combined noise by a factor of the square root of the number of sensors" Why is that?

[@BrianBDouglas]

It comes from multiplying the probabilities of two distributions - or combining two Gaussians. Check out equation 11 here: www.bzarg.com/p/how-a-kalman-filter-works-in-pictures/. If you have two noisy sensors, each with the same variance, sigma0^2 = sigma1^2, then when you blend them together the new variance is 1/2 of the individual sensor variances. Or, if you report noise as a standard deviation instead of variance then the combined standard deviations is 1/sqrt(2) of the individual sensors. Or the square root of 2 less. This works out with 3, 4, 5, or more sensors. As long as they have the same variance then the blended variance is 1/(number of sensors) and the blended standard deviation is 1/sqrt(number of sensors).

[@tutorgaming]

I'm curious about this too , and i realized that the creator of this clip is answer this by himself . Thank you for more information . your clips are very useful and have a very good explanation :)

[@yunlongsong7618]

cool video

[@CodySmith]

What software did you use for this style of video? Was it photoshop recorded with OBS?

[@BrianBDouglas]

Hey Cody, I wrote up my process here engineeringmedia.com/my-setup

[@LuuPham]

Tuyệt

[@sheshas6381]

Hi Brian I want the image map of control engineering Where to i download

[@BrianBDouglas]

Hi Shesha, I assume you're talking about the one that I have on my website? That is part of a talk I give on an overview of all of control engineering. Every time I give the talk I tweak that image a bit. Once it stops evolving I'll make a video on it and distribute the map to whoever wants it.

[@boricuallc2159]

Controlin its thinking ⚖️manuberin cuers

[@boricuallc2159]

Create the word make a good covi like robat mechanic

[@joymakerRC]

i love your face. thanks

[@boricuallc2159]

On aure side

[@boricuallc2159]

Ok make the faunten of uth joke

[@fernandolk4536]

Just wonder how mistaken and biased it gets in a third world country.