Understanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object With an IMM Filter

Check out the other videos in the series:
This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show how it is a better tracking algorithm than a single model Kalman filter.

We cover what makes tracking a harder problem than positioning and localization because there is less information available to the tracking filter. We explain how the IMM makes up for the lack of information, and show some simulated results.

Check out these other references!
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[ZardoshtHodaie]

The beauty of the math only becomes clear when a good teacher teaches it. Thank you! I truly wished there were more teachers like you at every level of education.

[unomasenelmar]

Oh!,
It has left me speechless, magnificent explanation in the university would have delayed in explaining the same years you explain it in minutes. great video. Congratulations!

[m.dawoodowais]

Man it takes me more than an hour to properly go through each video but its deffo worth it. Great stuff.

[dcpowered]

I love Brian's videos. Excellent explanation as usual! Please more!!!

[dhinas]

I love, how I always resort back to your videos when trying to wrap my head around various control engineering problems. I just love how you explain everything with ease, clear graphics, and answer questions just as they pop up in my head. Thank you for all the work! I also loved the PID videos!

[alanoorchannel]

Thanks Brian ... excellent lecture ... make us understand the complicated think very easily

[volodymyrhavrylov]

I really loved the explanations in this series of videos. Thanks for a great content! I hope you would get more views, as the sensor fusion topic is quite important for anybody who works with autonomous systems, and the number of engineer which work with it grows day by day.

[qamarkilani]

Thanks Brian for your great explanation, .. which books you recommend for further readings ?

[sdsachin]

How does Normalized distances are calculated in this video ?

[gregg]

Is the predicted and measured state delta an accuracy error?

[francescocolombi]

Hi Brian, hi all ^^
What do you think about adding to the filtering process an interpolation of the last "n" estimated states so that you can add a prediction also on the interpolation of the states?

[mdineen]

How would you connect this system to a real camera?

[francisstapp]

The ending of why not to use a million models my brother in Christ that's not a model that's a nural network