[MUSIC INTRO]
SPEAKER 1: So I've been working
in robotics for, I
don't know, 12, 13 years,
something like that.
I've been involved with a lot
of vehicles that drive
themselves and recently came
to Google to lead the
self-driving car project here.
So this is a video showing our
car driving itself in and
around the Bay Area
in San Francisco.
The cars are able to do pretty
much anything a person can.
So here we are in a construction
zone, merging
with other traffic, and we're
going to get back on the
freeway here and have to deal
with the fact that it's a
short merge, and there's traffic
whizzing by at 70
miles an hour.
So part of how it works is that
we use some of the best
maps in the world.
So we've taken Google Maps and
taken it to the next level.
We have 15-centimeter resolution
models of the
world, and we have lane-level
models of the world as well
that kind of feed into the
car how it drives.
And then in real time, we take
laser data from the vehicle,
and we process about a million
and a half thousand
measurements per second, and
from that, we cluster out
where people are, where other
vehicles are, and are able to
track them, bicycles,
and whatnot.
We've also done some
work with radar.
So here, this is a radar like
you might have in your
expensive luxury car for
adaptive cruise control.
We've taken that, refined the
algorithms, and then used that
to make the thing work.
SPEAKER 2: Incredible!
[APPLAUSE]
