The future race car -- 150mph, and no driver - Chris Gerdes
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so<00:00:16.080> how<00:00:16.240> many<00:00:16.400> of<00:00:16.560> you<00:00:16.720> have<00:00:16.800> ever<00:00:17.039> gotten
so how many of you have ever gotten
so how many of you have ever gotten
behind<00:00:17.760> the<00:00:17.920> wheel<00:00:18.240> of<00:00:18.320> a<00:00:18.480> car
behind the wheel of a car
behind the wheel of a car
when<00:00:19.920> you<00:00:20.080> really<00:00:20.560> shouldn't<00:00:21.039> have<00:00:21.199> been
when you really shouldn't have been
when you really shouldn't have been
driving
maybe<00:00:24.480> you're<00:00:24.720> out<00:00:24.880> on<00:00:24.960> the<00:00:25.039> road<00:00:25.359> for<00:00:25.600> a<00:00:25.680> long
maybe you're out on the road for a long
maybe you're out on the road for a long
day<00:00:26.400> and<00:00:26.480> you<00:00:26.640> just<00:00:26.800> wanted<00:00:27.119> to<00:00:27.279> get<00:00:27.439> home<00:00:27.840> you
day and you just wanted to get home you
day and you just wanted to get home you
were<00:00:28.160> tired<00:00:28.480> but<00:00:28.640> you<00:00:28.720> felt<00:00:29.199> you<00:00:29.279> could<00:00:29.439> drive
were tired but you felt you could drive
were tired but you felt you could drive
a<00:00:29.760> few<00:00:29.920> more<00:00:30.160> miles<00:00:31.039> maybe<00:00:31.359> you<00:00:31.439> thought<00:00:32.000> i've
a few more miles maybe you thought i've
a few more miles maybe you thought i've
had<00:00:32.399> less<00:00:32.559> to<00:00:32.719> drink<00:00:32.880> than<00:00:33.040> everybody<00:00:33.440> else<00:00:34.079> i
had less to drink than everybody else i
had less to drink than everybody else i
should<00:00:34.399> be<00:00:34.559> the<00:00:34.640> one<00:00:34.800> to<00:00:34.880> go<00:00:35.120> home
should be the one to go home
should be the one to go home
or<00:00:36.239> maybe<00:00:36.480> your<00:00:36.640> mind<00:00:36.800> was<00:00:36.960> just<00:00:37.280> entirely
or maybe your mind was just entirely
or maybe your mind was just entirely
elsewhere
elsewhere
elsewhere
does<00:00:40.160> this<00:00:40.239> sound<00:00:40.480> familiar<00:00:40.879> to<00:00:41.040> you
does this sound familiar to you
does this sound familiar to you
now<00:00:42.399> in<00:00:42.480> those<00:00:42.719> situations<00:00:43.600> wouldn't<00:00:43.920> it<00:00:44.000> be
now in those situations wouldn't it be
now in those situations wouldn't it be
great<00:00:44.480> if<00:00:44.559> there<00:00:44.719> was<00:00:44.800> a<00:00:44.960> button<00:00:45.280> on<00:00:45.360> your
great if there was a button on your
great if there was a button on your
dashboard<00:00:46.640> that<00:00:46.879> you<00:00:47.039> could<00:00:47.280> push
dashboard that you could push
dashboard that you could push
and<00:00:48.559> the<00:00:48.719> car
and the car
and the car
would<00:00:49.680> get<00:00:49.840> you<00:00:50.000> home<00:00:50.239> safely
would get you home safely
would get you home safely
now<00:00:52.320> that's<00:00:52.559> been<00:00:52.719> the<00:00:52.879> promise<00:00:53.360> of<00:00:53.440> the
now that's been the promise of the
now that's been the promise of the
self-driving<00:00:54.399> car<00:00:54.960> the<00:00:55.120> autonomous<00:00:55.760> vehicle
self-driving car the autonomous vehicle
self-driving car the autonomous vehicle
and<00:00:56.640> it's<00:00:56.719> been<00:00:56.879> a<00:00:56.960> dream<00:00:57.199> since<00:00:57.440> at<00:00:57.520> least
and it's been a dream since at least
and it's been a dream since at least
1939<00:00:59.199> when<00:00:59.440> general<00:00:59.680> motors<00:01:00.079> showcased<00:01:00.559> this
1939 when general motors showcased this
1939 when general motors showcased this
idea<00:01:01.120> at<00:01:01.199> their<00:01:01.440> futurama<00:01:02.480> booth<00:01:02.800> at<00:01:02.960> the
idea at their futurama booth at the
idea at their futurama booth at the
world's<00:01:03.520> fair
world's fair
world's fair
now<00:01:04.720> it's<00:01:04.879> been<00:01:05.040> one<00:01:05.199> of<00:01:05.280> those<00:01:05.439> dreams<00:01:05.760> that's
now it's been one of those dreams that's
now it's been one of those dreams that's
always<00:01:06.240> seemed<00:01:06.560> about<00:01:07.119> 20<00:01:07.439> years<00:01:08.000> in<00:01:08.159> the
always seemed about 20 years in the
always seemed about 20 years in the
future
future
future
now<00:01:10.159> two<00:01:10.320> weeks<00:01:10.640> ago<00:01:11.119> that<00:01:11.280> dream<00:01:11.600> took<00:01:11.840> a<00:01:11.920> step
now two weeks ago that dream took a step
now two weeks ago that dream took a step
forward<00:01:12.960> when<00:01:13.119> the<00:01:13.280> state<00:01:13.520> of<00:01:13.600> nevada<00:01:14.240> granted
forward when the state of nevada granted
forward when the state of nevada granted
google's<00:01:15.040> self-driving<00:01:15.760> car<00:01:16.479> the<00:01:16.720> very<00:01:17.200> first
google's self-driving car the very first
google's self-driving car the very first
license<00:01:18.159> for<00:01:18.320> an<00:01:18.479> autonomous<00:01:19.119> vehicle
license for an autonomous vehicle
license for an autonomous vehicle
clearly<00:01:20.400> establishing<00:01:20.880> that<00:01:21.040> it's<00:01:21.200> legal<00:01:21.439> for
clearly establishing that it's legal for
clearly establishing that it's legal for
them<00:01:21.759> to<00:01:21.920> test<00:01:22.240> it<00:01:22.320> on<00:01:22.479> the<00:01:22.560> roads<00:01:22.880> in<00:01:23.040> nevada
them to test it on the roads in nevada
them to test it on the roads in nevada
now<00:01:24.640> california<00:01:25.200> is<00:01:25.280> considering<00:01:26.159> similar
now california is considering similar
now california is considering similar
legislation<00:01:27.759> and<00:01:27.920> this<00:01:28.080> would<00:01:28.240> make<00:01:28.400> sure
legislation and this would make sure
legislation and this would make sure
that<00:01:28.640> the<00:01:28.799> autonomous<00:01:29.439> car<00:01:29.759> is<00:01:29.920> not<00:01:30.159> one<00:01:30.320> of
that the autonomous car is not one of
that the autonomous car is not one of
those<00:01:30.720> things<00:01:31.040> that<00:01:31.200> has<00:01:31.439> to<00:01:31.600> stay<00:01:31.840> in<00:01:32.000> vegas
now
now
now
in<00:01:37.280> my<00:01:37.439> lab<00:01:37.680> at<00:01:37.759> stanford<00:01:38.079> we've<00:01:38.240> been<00:01:38.320> working
in my lab at stanford we've been working
in my lab at stanford we've been working
on<00:01:38.720> autonomous<00:01:39.280> cars<00:01:39.600> too<00:01:39.840> but<00:01:40.000> with<00:01:40.159> a
on autonomous cars too but with a
on autonomous cars too but with a
slightly<00:01:41.119> different<00:01:41.680> spin<00:01:42.479> on<00:01:42.799> things<00:01:43.520> you
slightly different spin on things you
slightly different spin on things you
see<00:01:43.920> we've<00:01:44.079> been<00:01:44.240> developing<00:01:45.119> robotic<00:01:45.759> race
see we've been developing robotic race
see we've been developing robotic race
cars<00:01:46.880> cars<00:01:47.200> that<00:01:47.360> can<00:01:47.600> actually<00:01:48.240> push
cars cars that can actually push
cars cars that can actually push
themselves<00:01:49.040> to<00:01:49.119> the<00:01:49.520> very<00:01:50.079> limits<00:01:50.880> of
themselves to the very limits of
themselves to the very limits of
physical<00:01:51.920> performance
physical performance
physical performance
now<00:01:53.920> why<00:01:54.079> would<00:01:54.240> we<00:01:54.320> want<00:01:54.479> to<00:01:54.560> do<00:01:54.720> such<00:01:54.960> a<00:01:55.040> thing
now why would we want to do such a thing
now why would we want to do such a thing
well<00:01:55.920> there's<00:01:56.079> two<00:01:56.320> really<00:01:56.479> good<00:01:56.640> reasons<00:01:56.960> for
well there's two really good reasons for
well there's two really good reasons for
this
this
this
first
first
first
we<00:01:59.600> believe<00:01:59.840> that<00:02:00.000> before<00:02:00.240> people<00:02:00.560> turn<00:02:00.799> over
we believe that before people turn over
we believe that before people turn over
control<00:02:01.360> to<00:02:01.520> an<00:02:01.680> autonomous<00:02:02.240> car
control to an autonomous car
control to an autonomous car
that<00:02:03.200> autonomous<00:02:03.759> car<00:02:03.920> should<00:02:04.079> be<00:02:04.240> at<00:02:04.399> least
that autonomous car should be at least
that autonomous car should be at least
as<00:02:05.119> good<00:02:05.680> as<00:02:05.840> the<00:02:05.920> very<00:02:06.159> best<00:02:06.479> human<00:02:06.799> drivers
as good as the very best human drivers
as good as the very best human drivers
now<00:02:08.479> if<00:02:08.640> you're<00:02:08.879> like<00:02:09.119> me<00:02:09.280> and<00:02:09.360> the<00:02:09.440> other
now if you're like me and the other
now if you're like me and the other
seventy<00:02:10.000> percent<00:02:10.319> of<00:02:10.399> the<00:02:10.479> population<00:02:11.039> who
seventy percent of the population who
seventy percent of the population who
know<00:02:11.440> that<00:02:11.520> we<00:02:11.680> are<00:02:11.760> above<00:02:12.080> average<00:02:12.480> drivers
know that we are above average drivers
know that we are above average drivers
you<00:02:13.680> understand
you understand
you understand
that's<00:02:15.200> a<00:02:15.280> very<00:02:15.520> high<00:02:15.760> bar
that's a very high bar
that's a very high bar
there's<00:02:17.440> another<00:02:17.680> reason<00:02:18.000> as<00:02:18.160> well
there's another reason as well
there's another reason as well
just<00:02:19.440> like<00:02:19.680> race<00:02:19.920> car<00:02:20.160> drivers<00:02:20.720> can<00:02:20.879> use<00:02:21.280> all
just like race car drivers can use all
just like race car drivers can use all
of<00:02:21.680> the<00:02:21.760> friction<00:02:22.160> between<00:02:22.400> the<00:02:22.560> tire<00:02:22.879> and<00:02:22.959> the
of the friction between the tire and the
of the friction between the tire and the
road<00:02:23.680> all<00:02:23.920> of<00:02:24.000> the<00:02:24.160> car's<00:02:24.480> capabilities<00:02:25.120> to<00:02:25.280> go
road all of the car's capabilities to go
road all of the car's capabilities to go
as<00:02:25.599> fast<00:02:26.000> as<00:02:26.160> possible<00:02:27.120> we<00:02:27.280> want<00:02:27.440> to<00:02:27.520> use<00:02:27.760> all
as fast as possible we want to use all
as fast as possible we want to use all
of<00:02:28.080> those<00:02:28.239> capabilities<00:02:29.360> to<00:02:29.520> avoid<00:02:30.000> any
of those capabilities to avoid any
of those capabilities to avoid any
accident<00:02:30.800> we<00:02:31.040> can
accident we can
accident we can
now<00:02:32.319> you<00:02:32.480> may<00:02:32.640> push<00:02:32.800> the<00:02:32.959> car<00:02:33.120> to<00:02:33.200> the<00:02:33.280> limits
now you may push the car to the limits
now you may push the car to the limits
not<00:02:33.840> because<00:02:34.080> you're<00:02:34.319> driving<00:02:34.800> too<00:02:35.040> fast<00:02:35.760> but
not because you're driving too fast but
not because you're driving too fast but
because<00:02:36.160> you've<00:02:36.319> hit<00:02:36.480> an<00:02:36.640> icy<00:02:36.879> patch<00:02:37.200> of<00:02:37.360> road
because you've hit an icy patch of road
because you've hit an icy patch of road
conditions<00:02:38.640> have<00:02:38.800> changed
conditions have changed
conditions have changed
in<00:02:40.080> those<00:02:40.319> situations<00:02:41.519> we<00:02:41.760> want<00:02:41.920> a<00:02:42.080> car<00:02:42.720> that
in those situations we want a car that
in those situations we want a car that
is<00:02:43.120> capable<00:02:43.599> enough<00:02:44.160> to<00:02:44.400> avoid<00:02:45.040> any<00:02:45.360> accident
is capable enough to avoid any accident
is capable enough to avoid any accident
that<00:02:46.560> can<00:02:46.879> physically<00:02:47.680> be
that can physically be
that can physically be
avoided<00:02:50.160> i<00:02:50.319> must<00:02:50.480> confess<00:02:50.879> there's<00:02:51.040> kind<00:02:51.200> of<00:02:51.280> a
avoided i must confess there's kind of a
avoided i must confess there's kind of a
third<00:02:51.680> motivation<00:02:52.239> as<00:02:52.400> well<00:02:53.040> you<00:02:53.200> see<00:02:53.599> i<00:02:53.760> have
third motivation as well you see i have
third motivation as well you see i have
a<00:02:54.000> passion<00:02:54.400> for<00:02:54.560> racing
a passion for racing
a passion for racing
in<00:02:56.000> the<00:02:56.160> past<00:02:56.560> i've<00:02:56.720> been<00:02:56.879> a<00:02:56.959> race<00:02:57.200> car<00:02:57.519> owner<00:02:58.239> a
in the past i've been a race car owner a
in the past i've been a race car owner a
crew<00:02:58.720> chief<00:02:59.360> and<00:02:59.519> a<00:02:59.599> driving<00:03:00.000> coach
crew chief and a driving coach
crew chief and a driving coach
although<00:03:01.360> maybe<00:03:01.680> not<00:03:01.920> at<00:03:02.000> the<00:03:02.080> level<00:03:02.400> that
although maybe not at the level that
although maybe not at the level that
you're<00:03:02.640> currently<00:03:03.040> expecting
you're currently expecting
you're currently expecting
one<00:03:05.360> of<00:03:05.440> the<00:03:05.519> things<00:03:05.760> we've<00:03:05.920> developed<00:03:06.400> in<00:03:06.480> the
one of the things we've developed in the
one of the things we've developed in the
lab<00:03:07.280> we've<00:03:07.440> developed<00:03:07.840> several<00:03:08.080> vehicles
lab we've developed several vehicles
lab we've developed several vehicles
is<00:03:09.360> what<00:03:09.519> we<00:03:09.680> believe<00:03:10.000> is<00:03:10.080> the<00:03:10.239> world's<00:03:10.640> first
is what we believe is the world's first
is what we believe is the world's first
autonomously<00:03:11.920> drifting<00:03:12.640> car
autonomously drifting car
autonomously drifting car
it's<00:03:14.879> another<00:03:15.120> one<00:03:15.200> of<00:03:15.280> those<00:03:15.360> categories
it's another one of those categories
it's another one of those categories
where<00:03:16.000> maybe<00:03:16.239> there's<00:03:16.480> not<00:03:16.720> a<00:03:16.800> lot<00:03:17.040> of
where maybe there's not a lot of
where maybe there's not a lot of
competition
but<00:03:20.080> this<00:03:20.239> is<00:03:20.400> p1<00:03:20.879> it's<00:03:21.040> an<00:03:21.200> entirely<00:03:21.840> student
but this is p1 it's an entirely student
but this is p1 it's an entirely student
built<00:03:22.560> electric<00:03:23.040> vehicle<00:03:23.760> which<00:03:24.080> through
built electric vehicle which through
built electric vehicle which through
using<00:03:24.560> its<00:03:24.720> rear-wheel<00:03:25.200> drive<00:03:25.599> and<00:03:25.760> front
using its rear-wheel drive and front
using its rear-wheel drive and front
wheel<00:03:26.159> steer<00:03:26.480> by<00:03:26.720> wire<00:03:27.519> can<00:03:27.920> drift<00:03:28.239> around
wheel steer by wire can drift around
wheel steer by wire can drift around
corners<00:03:29.040> it<00:03:29.200> can<00:03:29.280> get<00:03:29.519> sideways<00:03:29.920> like<00:03:30.080> a<00:03:30.239> rally
corners it can get sideways like a rally
corners it can get sideways like a rally
car<00:03:30.799> driver<00:03:31.280> always<00:03:31.599> able<00:03:31.840> to<00:03:32.000> take<00:03:32.159> the
car driver always able to take the
car driver always able to take the
tightest<00:03:32.799> curve<00:03:33.440> even<00:03:33.840> on<00:03:34.159> slippery
tightest curve even on slippery
tightest curve even on slippery
unchanging<00:03:35.760> surfaces<00:03:36.720> never<00:03:37.040> spinning<00:03:37.519> out
unchanging surfaces never spinning out
unchanging surfaces never spinning out
we've<00:03:38.799> also<00:03:39.040> worked<00:03:39.280> with<00:03:39.360> volkswagen<00:03:40.159> oracle
we've also worked with volkswagen oracle
we've also worked with volkswagen oracle
on<00:03:41.440> shelly<00:03:42.080> an<00:03:42.239> autonomous<00:03:42.799> race<00:03:43.040> car<00:03:43.200> that
on shelly an autonomous race car that
on shelly an autonomous race car that
has<00:03:43.519> raced<00:03:43.760> at<00:03:43.920> 150<00:03:44.640> miles<00:03:45.040> an<00:03:45.200> hour<00:03:45.440> through
has raced at 150 miles an hour through
has raced at 150 miles an hour through
the<00:03:45.760> bonneville<00:03:46.239> salt<00:03:46.480> flats
the bonneville salt flats
the bonneville salt flats
gone<00:03:48.480> around<00:03:48.799> thunder<00:03:49.120> hill<00:03:49.360> raceway<00:03:49.840> park<00:03:50.560> in
gone around thunder hill raceway park in
gone around thunder hill raceway park in
the<00:03:50.879> sun
the sun
the sun
the<00:03:52.000> wind<00:03:52.720> and<00:03:52.959> the<00:03:53.120> rain
the wind and the rain
the wind and the rain
and<00:03:54.560> navigated<00:03:55.120> the<00:03:55.280> 153
and navigated the 153
and navigated the 153
turns<00:03:57.360> and<00:03:57.519> 12.4<00:03:58.319> miles<00:03:58.720> of<00:03:58.799> the<00:03:58.959> pikes<00:03:59.280> peak
turns and 12.4 miles of the pikes peak
turns and 12.4 miles of the pikes peak
hill<00:03:59.760> climb<00:04:00.080> route<00:04:00.319> in<00:04:00.480> colorado<00:04:01.680> with<00:04:02.159> nobody
hill climb route in colorado with nobody
hill climb route in colorado with nobody
at<00:04:03.439> the<00:04:03.599> wheel
[Music]
[Music]
[Music]
i<00:04:12.239> guess<00:04:12.480> it<00:04:12.560> goes<00:04:12.799> without<00:04:13.040> saying<00:04:13.280> that
i guess it goes without saying that
i guess it goes without saying that
we've<00:04:13.519> had<00:04:13.680> a<00:04:13.680> lot<00:04:13.920> of<00:04:14.000> fun<00:04:14.560> doing<00:04:14.879> this
we've had a lot of fun doing this
we've had a lot of fun doing this
but<00:04:16.959> in<00:04:17.120> fact<00:04:17.600> there's<00:04:17.840> something<00:04:18.239> else<00:04:18.400> that
but in fact there's something else that
but in fact there's something else that
we've<00:04:18.720> developed<00:04:19.199> in<00:04:19.280> the<00:04:19.440> process<00:04:19.919> of
we've developed in the process of
we've developed in the process of
developing<00:04:20.799> these<00:04:21.199> autonomous<00:04:21.919> cars
developing these autonomous cars
developing these autonomous cars
we<00:04:23.120> have<00:04:23.199> developed<00:04:24.160> a<00:04:24.320> tremendous
we have developed a tremendous
we have developed a tremendous
appreciation
appreciation
appreciation
for<00:04:27.120> the<00:04:27.280> capabilities<00:04:28.400> of<00:04:28.560> human<00:04:28.880> race<00:04:29.120> car
for the capabilities of human race car
for the capabilities of human race car
drivers
drivers
drivers
as<00:04:31.280> we've<00:04:31.520> looked<00:04:31.759> at<00:04:31.840> the<00:04:31.919> question<00:04:32.320> of<00:04:32.479> how
as we've looked at the question of how
as we've looked at the question of how
well<00:04:32.960> do<00:04:33.120> these<00:04:33.360> cars<00:04:33.759> performed
well do these cars performed
well do these cars performed
we<00:04:35.120> wanted<00:04:35.360> to<00:04:35.520> compare<00:04:35.919> them<00:04:36.080> to<00:04:36.240> our<00:04:36.400> human
we wanted to compare them to our human
we wanted to compare them to our human
counterparts
counterparts
counterparts
and<00:04:38.560> we<00:04:38.720> discovered
and we discovered
and we discovered
their<00:04:40.000> human<00:04:40.320> counterparts
their human counterparts
their human counterparts
are
are
are
amazing
amazing
amazing
now<00:04:45.520> we<00:04:45.680> can<00:04:45.840> take<00:04:46.000> a<00:04:46.080> map<00:04:46.400> of<00:04:46.479> a<00:04:46.560> racetrack<00:04:47.440> we
now we can take a map of a racetrack we
now we can take a map of a racetrack we
can<00:04:47.759> take<00:04:47.919> a<00:04:48.000> mathematical<00:04:48.720> model<00:04:49.040> of<00:04:49.120> a<00:04:49.280> car
can take a mathematical model of a car
can take a mathematical model of a car
and<00:04:50.160> with<00:04:50.320> some<00:04:50.560> iteration<00:04:51.520> we<00:04:51.680> can<00:04:51.840> actually
and with some iteration we can actually
and with some iteration we can actually
find<00:04:52.479> the<00:04:52.639> fastest<00:04:53.120> way<00:04:53.280> around<00:04:53.600> that<00:04:53.840> track
find the fastest way around that track
find the fastest way around that track
we<00:04:55.120> line<00:04:55.360> that<00:04:55.520> up<00:04:55.680> with<00:04:55.840> data<00:04:56.160> that<00:04:56.240> we<00:04:56.400> record
we line that up with data that we record
we line that up with data that we record
from<00:04:57.040> a<00:04:57.120> professional<00:04:57.680> driver
from a professional driver
from a professional driver
and<00:04:59.280> the<00:04:59.440> resemblance<00:05:00.160> is<00:05:00.479> absolutely
and the resemblance is absolutely
and the resemblance is absolutely
remarkable
remarkable
remarkable
yes
yes
yes
there<00:05:04.240> are<00:05:04.400> subtle<00:05:04.720> differences<00:05:05.199> here<00:05:05.919> but
there are subtle differences here but
there are subtle differences here but
the<00:05:06.240> human<00:05:06.560> race<00:05:06.800> car<00:05:07.039> driver<00:05:07.440> is<00:05:07.680> able<00:05:07.919> to<00:05:08.080> go
the human race car driver is able to go
the human race car driver is able to go
out<00:05:08.720> and<00:05:08.880> drive<00:05:09.440> an<00:05:09.680> amazingly<00:05:10.240> fast<00:05:10.560> line
out and drive an amazingly fast line
out and drive an amazingly fast line
without<00:05:11.600> the<00:05:11.680> benefit<00:05:12.080> of<00:05:12.160> an<00:05:12.320> algorithm<00:05:12.800> that
without the benefit of an algorithm that
without the benefit of an algorithm that
compares<00:05:13.600> the<00:05:13.759> trade-off<00:05:14.240> between<00:05:14.639> going<00:05:14.960> as
compares the trade-off between going as
compares the trade-off between going as
fast<00:05:15.360> as<00:05:15.440> possible<00:05:15.840> in<00:05:15.919> this<00:05:16.080> corner<00:05:16.560> and
fast as possible in this corner and
fast as possible in this corner and
shaving<00:05:17.039> a<00:05:17.120> little<00:05:17.280> bit<00:05:17.440> of<00:05:17.600> time<00:05:18.080> off<00:05:18.240> of<00:05:18.320> the
shaving a little bit of time off of the
shaving a little bit of time off of the
straight<00:05:18.960> over<00:05:19.280> here
straight over here
straight over here
not<00:05:20.800> only<00:05:21.039> that<00:05:21.600> they're<00:05:21.919> able<00:05:22.160> to<00:05:22.240> do<00:05:22.400> it<00:05:22.880> lap
not only that they're able to do it lap
not only that they're able to do it lap
after<00:05:23.919> lap<00:05:24.720> after<00:05:25.199> lap
after lap after lap
after lap after lap
they're<00:05:26.720> able<00:05:26.880> to<00:05:26.960> go<00:05:27.120> out<00:05:27.360> and<00:05:27.440> consistently
they're able to go out and consistently
they're able to go out and consistently
do<00:05:28.320> this<00:05:28.800> pushing<00:05:29.120> the<00:05:29.280> car<00:05:29.520> to<00:05:29.680> the<00:05:29.759> limits
do this pushing the car to the limits
do this pushing the car to the limits
every<00:05:31.440> single<00:05:32.240> time
every single time
every single time
it's<00:05:33.919> extraordinary<00:05:35.199> to<00:05:35.360> watch
it's extraordinary to watch
it's extraordinary to watch
you<00:05:36.800> put<00:05:37.039> them<00:05:37.120> in<00:05:37.280> a<00:05:37.360> new<00:05:37.600> car<00:05:38.240> and<00:05:38.479> after<00:05:38.720> a
you put them in a new car and after a
you put them in a new car and after a
few<00:05:39.039> laps<00:05:39.919> they<00:05:40.080> found<00:05:40.320> the<00:05:40.400> fastest<00:05:40.880> line<00:05:41.120> in
few laps they found the fastest line in
few laps they found the fastest line in
that<00:05:41.440> car
that car
that car
and<00:05:42.479> they're<00:05:42.639> off<00:05:42.800> to<00:05:42.960> the<00:05:43.039> races
it<00:05:45.840> really<00:05:46.080> makes<00:05:46.320> you<00:05:46.479> think
it really makes you think
it really makes you think
we'd<00:05:48.000> love<00:05:48.160> to<00:05:48.320> know<00:05:48.479> what's<00:05:48.720> going<00:05:48.960> on<00:05:49.199> inside
we'd love to know what's going on inside
we'd love to know what's going on inside
their<00:05:49.680> brain
their brain
their brain
so<00:05:51.680> as<00:05:51.840> researchers
so as researchers
so as researchers
that's<00:05:53.199> what<00:05:53.360> we<00:05:53.440> decided<00:05:53.759> to<00:05:53.919> find<00:05:54.160> out
that's what we decided to find out
that's what we decided to find out
we<00:05:56.240> decided<00:05:56.560> to<00:05:56.720> instrument<00:05:57.199> not<00:05:57.360> only<00:05:57.600> the
we decided to instrument not only the
we decided to instrument not only the
car
car
car
but<00:05:58.960> also<00:05:59.440> the<00:05:59.600> race<00:05:59.840> car<00:06:00.080> driver<00:06:00.800> to<00:06:01.039> try<00:06:01.199> to
but also the race car driver to try to
but also the race car driver to try to
get<00:06:01.440> a<00:06:01.520> glimpse<00:06:02.080> into<00:06:02.400> what<00:06:02.639> was<00:06:02.800> going<00:06:03.120> on<00:06:03.440> in
get a glimpse into what was going on in
get a glimpse into what was going on in
their<00:06:03.759> head<00:06:04.400> as<00:06:04.560> they<00:06:04.720> were<00:06:04.880> doing<00:06:05.120> this<00:06:06.319> now
their head as they were doing this now
their head as they were doing this now
this<00:06:06.639> is<00:06:06.720> dr<00:06:07.039> elena<00:06:07.360> harbout<00:06:08.160> applying
this is dr elena harbout applying
this is dr elena harbout applying
electrodes<00:06:09.360> to<00:06:09.520> the<00:06:09.600> head<00:06:09.759> of<00:06:09.840> john<00:06:10.080> morton
electrodes to the head of john morton
electrodes to the head of john morton
john<00:06:11.120> morton<00:06:11.440> is<00:06:11.520> a<00:06:11.600> former<00:06:12.000> can-am<00:06:12.479> and<00:06:12.560> imsa
john morton is a former can-am and imsa
john morton is a former can-am and imsa
driver<00:06:13.520> who's<00:06:13.759> also<00:06:14.000> a<00:06:14.080> class<00:06:14.400> champion<00:06:14.800> at<00:06:14.880> le
driver who's also a class champion at le
driver who's also a class champion at le
mans<00:06:15.680> fantastic<00:06:16.479> driver<00:06:17.120> and<00:06:17.280> very<00:06:17.440> willing
mans fantastic driver and very willing
mans fantastic driver and very willing
to<00:06:17.840> put<00:06:18.000> up<00:06:18.080> with<00:06:18.400> graduate<00:06:18.800> students<00:06:19.199> and
to put up with graduate students and
to put up with graduate students and
this<00:06:19.840> sort<00:06:20.080> of<00:06:20.240> research
this sort of research
this sort of research
she's<00:06:22.240> putting<00:06:22.479> electrodes<00:06:23.039> on<00:06:23.120> his<00:06:23.199> head<00:06:23.360> so
she's putting electrodes on his head so
she's putting electrodes on his head so
that<00:06:23.680> we<00:06:23.759> can<00:06:23.840> monitor<00:06:24.240> the<00:06:24.400> electrical
that we can monitor the electrical
that we can monitor the electrical
activity<00:06:25.680> in<00:06:25.919> john's<00:06:26.319> brain<00:06:26.880> as<00:06:27.120> he<00:06:27.199> races
activity in john's brain as he races
activity in john's brain as he races
around<00:06:27.919> the<00:06:28.080> track<00:06:28.960> now<00:06:29.280> clearly<00:06:29.520> we're<00:06:29.680> not
around the track now clearly we're not
around the track now clearly we're not
going<00:06:29.840> to<00:06:29.919> put<00:06:30.080> a<00:06:30.160> couple<00:06:30.400> of<00:06:30.560> electrodes<00:06:31.120> on
going to put a couple of electrodes on
going to put a couple of electrodes on
his<00:06:31.360> head<00:06:31.600> and<00:06:31.759> understand<00:06:32.319> exactly<00:06:32.720> what<00:06:32.960> all
his head and understand exactly what all
his head and understand exactly what all
of<00:06:33.120> his<00:06:33.280> thoughts<00:06:33.600> are<00:06:34.080> on<00:06:34.240> the<00:06:34.400> track<00:06:35.120> however
of his thoughts are on the track however
of his thoughts are on the track however
neuroscientists<00:06:36.560> have<00:06:36.800> identified<00:06:37.520> certain
neuroscientists have identified certain
neuroscientists have identified certain
patterns<00:06:38.639> that<00:06:38.800> let<00:06:38.960> us<00:06:39.199> tease<00:06:39.520> out<00:06:39.680> some<00:06:40.000> very
patterns that let us tease out some very
patterns that let us tease out some very
important<00:06:40.880> aspects<00:06:41.520> of<00:06:41.680> this
important aspects of this
important aspects of this
for<00:06:42.720> instance<00:06:43.120> the<00:06:43.280> resting<00:06:43.680> brain<00:06:44.000> tends<00:06:44.319> to
for instance the resting brain tends to
for instance the resting brain tends to
generate<00:06:44.880> a<00:06:44.960> lot<00:06:45.199> of<00:06:45.360> alpha<00:06:45.759> waves
generate a lot of alpha waves
generate a lot of alpha waves
in<00:06:46.880> contrast<00:06:48.319> fatal<00:06:48.639> waves<00:06:48.960> are<00:06:49.120> associated
in contrast fatal waves are associated
in contrast fatal waves are associated
with<00:06:50.160> a<00:06:50.240> lot<00:06:50.400> of<00:06:50.560> cognitive<00:06:51.199> activity<00:06:51.680> like
with a lot of cognitive activity like
with a lot of cognitive activity like
visual<00:06:52.400> processing<00:06:53.280> things<00:06:53.520> where<00:06:53.680> the
visual processing things where the
visual processing things where the
driver<00:06:54.240> is<00:06:54.479> is<00:06:54.720> thinking<00:06:55.360> quite<00:06:55.600> a<00:06:55.680> bit
driver is is thinking quite a bit
driver is is thinking quite a bit
now<00:06:56.960> we<00:06:57.039> can<00:06:57.199> measure<00:06:57.520> this<00:06:58.080> and<00:06:58.240> we<00:06:58.319> can<00:06:58.479> look
now we can measure this and we can look
now we can measure this and we can look
at<00:06:58.720> the<00:06:58.880> relative<00:06:59.360> power<00:06:59.840> between<00:07:00.400> the<00:07:00.639> theta
at the relative power between the theta
at the relative power between the theta
waves<00:07:01.199> and<00:07:01.280> the<00:07:01.360> alpha<00:07:01.680> waves<00:07:02.240> this<00:07:02.400> gives<00:07:02.639> us
waves and the alpha waves this gives us
waves and the alpha waves this gives us
a<00:07:02.960> measure<00:07:03.280> of<00:07:03.440> mental<00:07:03.759> workload<00:07:04.720> how<00:07:04.880> much
a measure of mental workload how much
a measure of mental workload how much
the<00:07:05.280> driver<00:07:05.840> is<00:07:06.240> actually<00:07:06.800> challenged
the driver is actually challenged
the driver is actually challenged
cognitively<00:07:08.240> at<00:07:08.400> any<00:07:08.639> point<00:07:08.880> along<00:07:09.120> the<00:07:09.280> track
cognitively at any point along the track
cognitively at any point along the track
now<00:07:10.800> we<00:07:10.880> wanted<00:07:11.120> to<00:07:11.199> see<00:07:11.280> if<00:07:11.360> we<00:07:11.440> could
now we wanted to see if we could
now we wanted to see if we could
actually<00:07:11.919> record<00:07:12.400> this<00:07:12.720> on<00:07:12.880> the<00:07:13.039> track<00:07:13.680> so<00:07:13.840> we
actually record this on the track so we
actually record this on the track so we
headed<00:07:14.240> down<00:07:14.479> south<00:07:14.720> to<00:07:14.800> laguna<00:07:15.280> seca<00:07:15.919> we're
headed down south to laguna seca we're
headed down south to laguna seca we're
going<00:07:16.240> to<00:07:16.319> take<00:07:16.560> as<00:07:16.720> a<00:07:16.880> legendary<00:07:17.360> raceway
going to take as a legendary raceway
going to take as a legendary raceway
about<00:07:18.000> halfway<00:07:18.319> between<00:07:18.639> salinas<00:07:19.120> and
about halfway between salinas and
about halfway between salinas and
monterey<00:07:20.080> it<00:07:20.240> has<00:07:20.400> a<00:07:20.479> curve<00:07:20.800> there<00:07:20.960> called<00:07:21.199> the
monterey it has a curve there called the
monterey it has a curve there called the
corkscrew<00:07:22.240> now<00:07:22.400> the<00:07:22.479> corkscrew<00:07:22.960> is<00:07:23.120> a<00:07:23.199> chicane
corkscrew now the corkscrew is a chicane
corkscrew now the corkscrew is a chicane
followed<00:07:24.000> by<00:07:24.240> a<00:07:24.479> quick<00:07:24.800> right-handed<00:07:25.360> turn<00:07:25.759> as
followed by a quick right-handed turn as
followed by a quick right-handed turn as
the<00:07:26.080> road<00:07:26.400> drops<00:07:26.720> three<00:07:27.039> stories
the road drops three stories
the road drops three stories
now<00:07:28.400> the<00:07:28.720> strategy<00:07:29.120> for<00:07:29.280> driving<00:07:29.520> this<00:07:29.759> has
now the strategy for driving this has
now the strategy for driving this has
explained<00:07:30.400> to<00:07:30.479> me<00:07:30.960> was<00:07:31.280> you<00:07:31.520> aim<00:07:31.759> for<00:07:31.919> the<00:07:32.080> bush
explained to me was you aim for the bush
explained to me was you aim for the bush
in<00:07:32.720> the<00:07:32.880> distance<00:07:33.440> and<00:07:33.599> as<00:07:33.759> the<00:07:33.840> road<00:07:34.000> falls
in the distance and as the road falls
in the distance and as the road falls
away<00:07:34.479> you<00:07:34.560> realize<00:07:34.880> it<00:07:34.960> was<00:07:35.120> actually<00:07:35.360> the<00:07:35.440> top
away you realize it was actually the top
away you realize it was actually the top
of<00:07:35.840> a<00:07:36.000> tree
of a tree
of a tree
all<00:07:37.520> right<00:07:38.000> so<00:07:38.240> thanks<00:07:38.479> to<00:07:38.560> the<00:07:38.639> revs<00:07:38.960> program
all right so thanks to the revs program
all right so thanks to the revs program
at<00:07:39.360> stanford<00:07:39.680> we<00:07:39.840> were<00:07:39.919> able<00:07:40.080> to<00:07:40.240> take<00:07:40.479> john
at stanford we were able to take john
at stanford we were able to take john
there<00:07:41.039> and<00:07:41.120> put<00:07:41.280> him<00:07:41.360> behind<00:07:41.680> the<00:07:41.759> wheel<00:07:42.000> of<00:07:42.160> a
there and put him behind the wheel of a
there and put him behind the wheel of a
1960<00:07:43.120> porsche<00:07:43.520> abarth<00:07:44.000> carrera
1960 porsche abarth carrera
1960 porsche abarth carrera
life<00:07:45.440> is<00:07:45.520> way<00:07:45.759> too<00:07:46.000> short<00:07:46.720> for<00:07:46.960> boring<00:07:47.280> cars<00:07:48.160> so
life is way too short for boring cars so
life is way too short for boring cars so
here<00:07:48.560> you<00:07:48.720> see<00:07:48.960> john<00:07:49.280> on<00:07:49.440> the<00:07:49.599> track<00:07:50.080> he's
here you see john on the track he's
here you see john on the track he's
going<00:07:50.560> up<00:07:50.720> the<00:07:50.800> hill<00:07:51.039> oh<00:07:51.440> somebody<00:07:51.759> like<00:07:51.919> that
going up the hill oh somebody like that
going up the hill oh somebody like that
uh<00:07:52.880> and<00:07:53.039> you<00:07:53.120> can<00:07:53.280> see<00:07:53.520> actually<00:07:53.919> his<00:07:54.080> mental
uh and you can see actually his mental
uh and you can see actually his mental
workload<00:07:55.280> measuring<00:07:55.680> here<00:07:55.919> in<00:07:56.000> the<00:07:56.240> red<00:07:56.560> bar
workload measuring here in the red bar
workload measuring here in the red bar
you<00:07:56.960> can<00:07:57.039> see<00:07:57.280> his<00:07:57.680> actions<00:07:58.400> as<00:07:58.560> he<00:07:58.720> approaches
you can see his actions as he approaches
you can see his actions as he approaches
now<00:07:59.599> watch<00:07:59.919> he<00:08:00.080> has<00:08:00.240> to<00:08:00.400> downshift
now watch he has to downshift
now watch he has to downshift
and<00:08:02.000> then<00:08:02.160> he<00:08:02.240> has<00:08:02.400> to<00:08:02.479> turn<00:08:02.800> left
and then he has to turn left
and then he has to turn left
look<00:08:03.840> for<00:08:04.000> the<00:08:04.080> tree
look for the tree
look for the tree
and<00:08:05.520> down
and down
and down
not<00:08:07.120> surprisingly<00:08:07.680> you<00:08:07.759> can<00:08:07.919> see<00:08:08.319> this<00:08:08.479> is<00:08:08.639> a
not surprisingly you can see this is a
not surprisingly you can see this is a
pretty<00:08:08.960> challenging<00:08:09.520> task<00:08:10.240> you<00:08:10.400> can<00:08:10.479> see<00:08:10.639> his
pretty challenging task you can see his
pretty challenging task you can see his
mental<00:08:11.039> workload<00:08:11.520> spike<00:08:11.919> as<00:08:12.080> he<00:08:12.160> goes<00:08:12.400> through
mental workload spike as he goes through
mental workload spike as he goes through
this<00:08:13.199> as<00:08:13.440> you<00:08:13.520> would<00:08:13.680> expect<00:08:14.080> with<00:08:14.160> something
this as you would expect with something
this as you would expect with something
that<00:08:14.639> requires<00:08:15.440> this<00:08:15.680> level<00:08:16.000> of<00:08:16.080> complexity
that requires this level of complexity
that requires this level of complexity
but<00:08:17.840> what's<00:08:18.240> really<00:08:18.639> interesting
but what's really interesting
but what's really interesting
is<00:08:20.000> to<00:08:20.080> look<00:08:20.319> at<00:08:20.479> areas<00:08:20.720> of<00:08:20.800> the<00:08:20.960> track<00:08:21.520> where
is to look at areas of the track where
is to look at areas of the track where
his<00:08:21.840> mental<00:08:22.080> workload<00:08:22.879> doesn't<00:08:23.360> increase
his mental workload doesn't increase
his mental workload doesn't increase
we're<00:08:24.800> going<00:08:24.800> to<00:08:24.879> take<00:08:25.039> you<00:08:25.120> around<00:08:25.360> now<00:08:25.520> to
we're going to take you around now to
we're going to take you around now to
the<00:08:25.680> other<00:08:25.919> side<00:08:26.160> of<00:08:26.240> the<00:08:26.400> track<00:08:26.720> turn<00:08:27.039> three
the other side of the track turn three
the other side of the track turn three
and<00:08:27.759> john's<00:08:28.080> going<00:08:28.160> to<00:08:28.240> go<00:08:28.400> into<00:08:28.639> that<00:08:28.800> corner
and john's going to go into that corner
and john's going to go into that corner
and<00:08:29.199> the<00:08:29.360> rear<00:08:29.599> end<00:08:29.759> of<00:08:29.840> the<00:08:29.919> car<00:08:30.240> is<00:08:30.319> going<00:08:30.400> to
and the rear end of the car is going to
and the rear end of the car is going to
begin<00:08:30.800> to<00:08:30.879> slide<00:08:31.280> out<00:08:31.759> he's<00:08:31.919> going<00:08:32.080> to<00:08:32.159> have<00:08:32.240> to
begin to slide out he's going to have to
begin to slide out he's going to have to
correct<00:08:32.719> for<00:08:32.800> that<00:08:33.039> with<00:08:33.200> steering<00:08:34.080> so<00:08:34.240> watch
correct for that with steering so watch
correct for that with steering so watch
as<00:08:34.719> john<00:08:34.959> does<00:08:35.200> this<00:08:35.440> here<00:08:36.080> watch<00:08:36.320> the<00:08:36.399> metal
as john does this here watch the metal
as john does this here watch the metal
workload<00:08:37.120> and<00:08:37.200> watch<00:08:37.519> the<00:08:37.599> steering<00:08:38.399> the<00:08:38.560> car
workload and watch the steering the car
workload and watch the steering the car
begins<00:08:39.039> to<00:08:39.200> slide<00:08:39.599> out<00:08:40.080> dramatic<00:08:40.560> maneuver<00:08:41.039> to
begins to slide out dramatic maneuver to
begins to slide out dramatic maneuver to
correct<00:08:41.599> it<00:08:42.000> and<00:08:42.320> no<00:08:42.560> change<00:08:42.880> whatsoever
correct it and no change whatsoever
correct it and no change whatsoever
in<00:08:44.399> the<00:08:44.480> mental<00:08:44.720> workload
in the mental workload
in the mental workload
not<00:08:47.040> a<00:08:47.120> challenging<00:08:47.680> task
not a challenging task
not a challenging task
in<00:08:48.959> fact<00:08:49.680> entirely<00:08:50.720> reflexive
in fact entirely reflexive
in fact entirely reflexive
now<00:08:52.880> our<00:08:53.040> data<00:08:53.279> processing<00:08:53.760> on<00:08:53.920> this<00:08:54.160> is<00:08:54.240> still
now our data processing on this is still
now our data processing on this is still
preliminary<00:08:55.279> but<00:08:55.440> it<00:08:55.600> really<00:08:55.920> seems<00:08:56.320> that
preliminary but it really seems that
preliminary but it really seems that
these<00:08:56.720> phenomenal<00:08:57.279> feats<00:08:57.600> that<00:08:57.680> the<00:08:57.760> race<00:08:58.000> car
these phenomenal feats that the race car
these phenomenal feats that the race car
drivers<00:08:58.640> are<00:08:58.800> performing<00:08:59.760> are<00:09:00.320> instinctive
drivers are performing are instinctive
drivers are performing are instinctive
they<00:09:01.760> are<00:09:01.920> things<00:09:02.240> that<00:09:02.399> they<00:09:02.640> have<00:09:02.720> simply
they are things that they have simply
they are things that they have simply
learned<00:09:04.000> to<00:09:04.240> do
learned to do
learned to do
it<00:09:05.120> requires<00:09:05.680> very<00:09:05.920> little<00:09:06.160> mental<00:09:06.399> workload
it requires very little mental workload
it requires very little mental workload
for<00:09:07.519> them<00:09:08.000> to<00:09:08.160> perform<00:09:08.560> these<00:09:08.720> amazing<00:09:09.279> feats
for them to perform these amazing feats
for them to perform these amazing feats
and<00:09:10.399> their<00:09:10.640> actions<00:09:11.600> are<00:09:11.920> fantastic<00:09:13.040> this<00:09:13.279> is
and their actions are fantastic this is
and their actions are fantastic this is
exactly<00:09:14.080> what<00:09:14.240> you<00:09:14.320> want<00:09:14.480> to<00:09:14.560> do<00:09:14.720> on<00:09:14.880> the
exactly what you want to do on the
exactly what you want to do on the
steering<00:09:15.279> wheel<00:09:15.920> to<00:09:16.080> catch<00:09:16.320> the<00:09:16.480> car
steering wheel to catch the car
steering wheel to catch the car
in<00:09:17.519> this<00:09:17.760> situation
in this situation
in this situation
now<00:09:20.480> this<00:09:20.720> has<00:09:20.800> given<00:09:21.120> us<00:09:21.279> tremendous<00:09:21.839> insight
now this has given us tremendous insight
now this has given us tremendous insight
and<00:09:22.399> inspiration<00:09:23.279> for<00:09:23.519> our<00:09:23.760> own<00:09:24.160> autonomous
and inspiration for our own autonomous
and inspiration for our own autonomous
vehicles<00:09:25.760> we<00:09:25.920> started<00:09:26.240> to<00:09:26.399> ask<00:09:26.560> the<00:09:26.800> question
vehicles we started to ask the question
vehicles we started to ask the question
can<00:09:27.600> we<00:09:27.680> make<00:09:27.839> them<00:09:28.080> a<00:09:28.160> little<00:09:28.480> less
can we make them a little less
can we make them a little less
algorithmic
algorithmic
algorithmic
and<00:09:30.560> a<00:09:30.640> little<00:09:30.880> more<00:09:31.120> intuitive
and a little more intuitive
and a little more intuitive
can<00:09:32.560> we<00:09:32.720> take<00:09:32.880> this<00:09:33.120> reflexive<00:09:33.839> action<00:09:34.240> that
can we take this reflexive action that
can we take this reflexive action that
we<00:09:34.480> see<00:09:34.720> from<00:09:34.880> the<00:09:35.040> very<00:09:35.360> best<00:09:35.600> race<00:09:35.920> car
we see from the very best race car
we see from the very best race car
drivers<00:09:36.880> introduce<00:09:37.279> it<00:09:37.360> to<00:09:37.519> our<00:09:37.760> cars
drivers introduce it to our cars
drivers introduce it to our cars
and<00:09:38.880> maybe<00:09:39.120> even<00:09:39.360> into<00:09:39.600> a<00:09:39.680> system<00:09:39.920> that<00:09:40.080> could
and maybe even into a system that could
and maybe even into a system that could
get<00:09:40.320> on<00:09:40.480> your<00:09:40.720> car<00:09:41.279> in<00:09:41.440> the<00:09:41.519> future
get on your car in the future
get on your car in the future
that<00:09:42.720> would<00:09:42.880> take<00:09:43.040> us<00:09:43.200> a<00:09:43.279> long<00:09:43.519> step<00:09:44.080> along<00:09:44.320> the
that would take us a long step along the
that would take us a long step along the
road<00:09:45.120> to<00:09:45.279> autonomous<00:09:45.839> vehicles<00:09:46.240> that<00:09:46.320> drive
road to autonomous vehicles that drive
road to autonomous vehicles that drive
as<00:09:46.800> well<00:09:47.040> as<00:09:47.120> the<00:09:47.200> best<00:09:47.519> humans
as well as the best humans
as well as the best humans
but<00:09:49.279> it's<00:09:49.440> made<00:09:49.600> us<00:09:49.760> think<00:09:50.000> a<00:09:50.080> little<00:09:50.240> bit<00:09:50.480> more
but it's made us think a little bit more
but it's made us think a little bit more
deeply<00:09:51.120> as<00:09:51.279> well
deeply as well
deeply as well
do<00:09:53.040> we<00:09:53.120> want<00:09:53.360> something<00:09:53.680> more<00:09:53.920> from<00:09:54.160> our<00:09:54.320> car
do we want something more from our car
do we want something more from our car
than<00:09:55.040> to<00:09:55.200> simply<00:09:55.519> be<00:09:55.680> a<00:09:55.760> chauffeur
than to simply be a chauffeur
than to simply be a chauffeur
do<00:09:57.440> we<00:09:57.600> want<00:09:57.760> our<00:09:58.000> car<00:09:58.240> to<00:09:58.399> perhaps<00:09:58.720> be<00:09:58.959> a
do we want our car to perhaps be a
do we want our car to perhaps be a
partner
partner
partner
a<00:10:00.240> coach<00:10:01.040> someone<00:10:01.360> that<00:10:01.600> can<00:10:01.760> use<00:10:02.160> their
a coach someone that can use their
a coach someone that can use their
understanding<00:10:02.959> of<00:10:03.040> the<00:10:03.200> situation<00:10:04.160> to<00:10:04.320> help
understanding of the situation to help
understanding of the situation to help
us<00:10:05.279> reach<00:10:06.000> our<00:10:06.160> potential
us reach our potential
us reach our potential
can<00:10:07.920> in<00:10:08.000> fact<00:10:08.240> the<00:10:08.320> technology<00:10:08.880> not<00:10:09.040> simply
can in fact the technology not simply
can in fact the technology not simply
replace<00:10:09.839> humans<00:10:10.720> but<00:10:10.959> allow<00:10:11.279> us<00:10:11.519> to<00:10:11.680> reach<00:10:12.240> the
replace humans but allow us to reach the
replace humans but allow us to reach the
level<00:10:12.720> of<00:10:12.880> reflex
level of reflex
level of reflex
and<00:10:14.320> intuition
and intuition
and intuition
that<00:10:15.680> we're<00:10:15.920> all<00:10:16.160> capable<00:10:16.839> of<00:10:17.920> so<00:10:18.079> as<00:10:18.240> we<00:10:18.399> move
that we're all capable of so as we move
that we're all capable of so as we move
forward<00:10:18.880> into<00:10:19.040> this<00:10:19.200> technological<00:10:19.839> future<00:10:20.720> i
forward into this technological future i
forward into this technological future i
want<00:10:20.959> you<00:10:21.040> to<00:10:21.120> just<00:10:21.360> pause<00:10:21.680> and<00:10:21.760> think<00:10:22.000> of<00:10:22.079> that
want you to just pause and think of that
want you to just pause and think of that
for<00:10:22.399> a<00:10:22.480> moment
for a moment
for a moment
what<00:10:23.839> is<00:10:24.000> the<00:10:24.160> ideal<00:10:24.560> balance<00:10:25.279> of<00:10:25.440> human<00:10:26.160> and
what is the ideal balance of human and
what is the ideal balance of human and
machine
machine
machine
and<00:10:27.519> as<00:10:27.600> we<00:10:27.760> think<00:10:27.920> about<00:10:28.160> that<00:10:28.800> let's<00:10:29.120> take
and as we think about that let's take
and as we think about that let's take
inspiration
inspiration
inspiration
from<00:10:31.040> the<00:10:31.360> absolutely<00:10:32.000> amazing<00:10:32.560> capabilities
from the absolutely amazing capabilities
from the absolutely amazing capabilities
of<00:10:33.920> the<00:10:34.079> human<00:10:34.399> body
of the human body
of the human body
and<00:10:35.519> the<00:10:35.600> human<00:10:35.920> mind
and the human mind
and the human mind
thank<00:10:37.360> you
thank you
thank you
[Music]
you
TED TEDx TEDxStanford Chris Gerdes, driver, race, car, car, automobile, autonomous cars, TED-Ed, TED, Ed, TEDEducation
