Tip:
Highlight text to annotate it
X
[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]