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We will now have a quick look at the course outline of this advanced comment filtering and sensor fusion

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course, the first section of this course is going to be the welcome section.

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So this video is part of that section.

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After that, we'll look at the introduction.

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We'll go through the background theory, a quick recap of what you should already know.

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We will then get into the main content of the course, which is the linnear coming fuera, followed

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by the extended mahila.

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And then lastly, the uncynical midfielder.

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Once you've covered those different kind filtering types, we're going to be looking at some additional

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topics.

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So this is where we're looking at how to use these filters in the real world.

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Lastly, we'll do a capstone project, which is where you can implement the filter yourself that can

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handle all different types of problems that would happen in the real world and will also then have a

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conclusion at the end.

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So the course is going to be structured first looking at the background theory and then the linnear

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extended and unscented and filters for and for each of them.

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We're going to cover the theory, we're going to cover and implementation exercises.

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And then we'll also do explanation of these exercises.

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The additional topics that we'll look at after we've looked at these three different types of common

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filters is going to be more for when we're operating these filters in the real world.

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So we look at sensor error comp. We'll also look at sensor detection and then the last section is going

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to be the capstone project.

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So this is going to be a challenging project.

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We have to design and implement a robust common filter for the simulation or for a self-driving car.