We will now have a quick look at the course outline of this advanced comment filtering and sensor fusion
course, the first section of this course is going to be the welcome section.
So this video is part of that section.
After that, we'll look at the introduction.
We'll go through the background theory, a quick recap of what you should already know.
We will then get into the main content of the course, which is the linnear coming fuera, followed
by the extended mahila.
And then lastly, the uncynical midfielder.
Once you've covered those different kind filtering types, we're going to be looking at some additional
topics.
So this is where we're looking at how to use these filters in the real world.
Lastly, we'll do a capstone project, which is where you can implement the filter yourself that can
handle all different types of problems that would happen in the real world and will also then have a
conclusion at the end.
So the course is going to be structured first looking at the background theory and then the linnear
extended and unscented and filters for and for each of them.
We're going to cover the theory, we're going to cover and implementation exercises.
And then we'll also do explanation of these exercises.
The additional topics that we'll look at after we've looked at these three different types of common
filters is going to be more for when we're operating these filters in the real world.
So we look at sensor error comp. We'll also look at sensor detection and then the last section is going
to be the capstone project.
So this is going to be a challenging project.
We have to design and implement a robust common filter for the simulation or for a self-driving car.