Here's a Google self driving car. Here's another car.

This is Junior, Standord's most recent self driving car.

I really love, with my team, building self driving cars.

In the Google self driving car, localization plays a key role.

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

So we decided at Stanford to build a different self driving car.

Many, many problems have functions like these in our self driving car.

So, I'm here with Sebastian, and Junior, one of Sebastian's self driving cars.

Sebastian So, taking data in is essential to making self driving cars work.

We are using it in various places in the Google self driving car.

This might be another car in traffic for the Google self driving car.

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

Suppose you are the Google self driving car in an environment just like this.

So one of my life passions has been to be develop self driving cars.

In seven weeks time you should be able to build your own self driving car.

You'll really program the basic algorithms and data structures necessary to build self driving cars.

So we don't have our self driving car, but now you can define and use procedures.

We will apply both of those to really interesting problems in the Google self driving car,

So this is footage from our Google self driving car, which you might have heard about.

In Junior's case and the Google self driving car cases, we don't do that much planning.

This led at Google to a sequence of experiments known as the Google self driving car.

If we track another care with our Google self driving car, which Gaussian would we prefer?

Keep driving, Brené, keep driving.

Let me tell you something about the equipment that's on this car that makes it self driving.

Driving?

You are entering at exciting 7 week class in which you'll learn how to program self driving cars.

One of the things I've been working on for most of my professional career are self driving cars.

So for me the work on self driving cars started in 2004 after the first DARPA Grand Challenge.

It's a self driving car that drives without any human assistance whatsoever, and this vehicle extensively uses machine learning.

Wow, you've basically programmed the Google self driving car localization even though you might not quite known it yet.

In fact, we drove over 100,000 miles without anybody noticing that there were self driving cars in our experiments.

I honestly personally much prefer them over questions such as, When can I buy my next self driving car?

These are some of the key methods we've been applying to self driving cars. There are many other methods.

Who's driving?

I'm driving.

I'm driving.

I'm driving.

I'm driving.

You learned about localization, about planning and control, and we almost learned talking about how to build a self driving car.

But there has to be some situations where we've just hard coded some things into, like, the Google self driving car.

For example, our self driving cars use particle filters for localization and for mapping and for a number of other things.

You really understood something fundamental here that I believe is really essential to artificial intelligence and to building self driving cars.

Be careful driving.

Driving is dangerous.

He wasn't driving.