We will talk today of localization.

Just to recap, in the class we learned about localization. Localization

Degree of fuzzyness

That's the localization question.

You learned about localization.

A has a degree of 3, B has a degree of 2, D has a degree of 3, and C has a degree of 2.

Here is a localization quiz.

You've programmed the core of Google's self driving car localization methods.

Sebastian Localization does depend on having a map of the environment.

Rotation degree

One Degree

Let's get back to Monte Carlo localization.

Here is the critical step for localization.

So congratulations. You understand probability and localization.

Let me ask you a localization question.

Now, localization is nothing else but the iteration of sense and move.

What degree of interest did he show?

Distance per degree of longitude at equator.

We've all had some degree of fame.

Of course not. Domenico has a degree.

If you understand this step, you understand localization.

Thrun Here is the application of HMM to a real robot localization example.

One of our largest sources of community volunteer work is localization, which is basically translation.

So localization, for example, it's clearly an approximate filter.

You should say to yourself, I just implemented localization.

What it really means is simultaneous localization and mapping.

His grandfather was a soldier of high degree.

There's no second degree term of the y.

What's new is just the degree of it.

And with the wisdom of my Stanford degree,

How about First degree scaring hell out of?

Select the rotation degree.

90 degree rotation speed

But what you've implemented is the core of Google's self driving car localization idea.

So localization has a lot of math, but before I dive into mathematical detail,

Let's talk about localization of a car like our DARPA Urban Challenge car Junior.

So that is a 90 degree angle, a 90 degree angle and that is a 90 degree angle over there

It did localization similar to what I taught you before.

The next question we had was about internationalization and localization.

You wrote an algorithm that implements what's called Markov localization.

This work calls for a high degree of skill.

I want to spend a few minutes and go over the formal definition of localization.

So this first degree so this is going to be a 0 degree or a constant term Here the degree is 2.

This isn't too hard we just make a note that degree centrality just means that degree which node has the highest degree.

Howard is a man of a certain degree of intellectual standards.