Target position

Give me the subject's location.

Here is the same algorithm applied to an actual parking example using our robot Junior.

Geographic Position

Mobile One, give me the subject's current location.

He won't show me location number 2, because that's the one I guessed.

As you see the 7, we're willing to go to 5.1, but not quite all the way because we feel fairly confident on our wrong prior estimate.

So this is vector a in standard position right there.

Transformed position of first point

Transformed position of second point

Transformed position of third point

Transformed position of fourth point

We happen to know that the projection of p on the two image planes is somewhat different.

This is the target and the location.

Corner

Location

Jump to Position

Polarization

Positions Rotor

Location

Position

Position

Actions

If you have let's say a number we write out 451 we consider this the ones place, the tens place, and the hundreds place.

That's it.

That's the vector in standard position.

Let me put the Laplace transform of and I'm also going to the sides.

So we're going to move beyond the idea of just state estimation finding out where we are or where the other cars are.

Text position

Dock position

Position x

Text Position

Position Angle

Position X

Position Y

Home location

Barcode Position

What's the position?

Position.

Can you locate it?

Enough to get a GPS fix?

This is the same as the first choice, except keyword was moved over a position and count was also moved over.

But the convention is to often put them in what's called the standard position.

Let's take a robot moving around and let's say it sees a landmark from the first pose x0 and from the third pose x2 but not from the second pose.

That's a.