The future race car 150mph and no driver Chris Gerdes

so how many of you have ever gotten

behind the wheel of a car when you

really shouldn’t have been driving maybe

you’re out on the road for a long day

and you just wanted to get home

you’re tired but you felt you could

drive a few more miles maybe you thought

I’ve had less to drink than everybody

else I should be the one to go home or

maybe your mind was just entirely

elsewhere does this sound familiar to

you now in those situations wouldn’t it

be great if there was a button on your

dashboard that you could push and the

car would get you home safely now that’s

been the promise of the self-driving car

the autonomous vehicle and it’s been the

dream since at least 1939 when General

Motors showcased this idea their

Futurama booth at the World’s Fair now

it’s been one of those dreams that’s

always seemed about 20 years in the

future now two weeks ago that dream took

a step forward when the state of Nevada

granted Google’s self-driving car the

very first license for an autonomous

vehicle clearly establishing that it’s

legal for them to test it on the roads

in Nevada now California is considering

similar legislation and this would make

sure that the autonomous car is not one

of those things that has to stay in

Vegas

now in my lab at Stanford we’ve been

working on autonomous cars - but with a

slightly different spin on things you

see we’ve been developing robotic race

cars cars that can actually push

themselves to the very limits of

physical performance now why would we

want to do such a thing well there’s two

really good reasons for this first we

believe that before people turn over

control to an autonomous car that

autonomous car should be at least as

good as the very best human drivers now

if you’re like me and the other 70% of

the population who know that we are

above-average drivers you understand

that’s a very high bar there’s another

reason as well just like racecar drivers

can use all of the friction between the

tire in the road all of the cars

capabilities to go as fast as possible

we want to use all of those capabilities

to avoid any accident we can now you may

push the car to the limits not because

you’re driving too fast but because

you’ve hit an icy patch of road

conditions have changed in those

situations we want a car that is capable

enough to avoid any accident that can

physically be avoided I must confess

there’s kind of a third motivation as

well you see I have a passion for racing

in the past I’ve been a race car owner a

crew chief and a driving coach although

maybe not at the level that you’re

currently expecting one of the things

that we’ve developed in the lab we’ve

developed several vehicles is what we

believe is a world’s first autonomously

drifting car it’s another one of those

categories where maybe there’s not a lot

of competition

but this is p1 it’s an entirely

student-built

electric vehicle which through using its

rear-wheel drive and front wheel steer

by wire can drift around corners

it can get sideways like a rally car

driver always able to take the tightest

curve even on slippery unchanging

surfaces never spinning out we’ve also

worked with Volkswagen Oracle on Shelly

an autonomous race car that has raced at

a hundred and fifty miles an hour

through the Bonneville Salt Flats gone

around Thunderhill Raceway Park in the

Sun the wind and the rain and navigated

the 153 turns and 12.4 miles of the

Pikes Peak Hill Climb route in Colorado

with nobody at the wheel

I guess it goes without saying that

we’ve had a lot of fun doing this but in

fact there’s something else that we’ve

developed in the process of developing

these autonomous cars we have developed

a tremendous appreciation for the

capabilities of human race car drivers

as we’ve looked at the question of how

well do these cars performed we wanted

to compare them to our human

counterparts and we discovered their

human counterparts are amazing now we

can take a map of a racetrack we could

take a mathematical model of a car and

with some iteration we can actually find

the fastest way around that track we

line that up with data that we record

from a professional driver and the

resemblance is absolutely remarkable yes

there are subtle differences here but

the human race car driver is able to go

out and drive an amazingly fast line

without the benefit of an algorithm that

compares the trade-off between going as

fast as possible in this corner and

shaving a little bit of time off of the

straight over here not only that they’re

able to do it

lap after lap after lap they’re able to

go out and consistently do this pushing

the car to the limits every single time

it’s extraordinary to watch you put them

in a new car and after a few laps they

found the fastest line in that car and

they’re off to the races it really makes

you think we’d love to know what’s going

on inside their brain so as researchers

that’s what we decided to find out we

decided to instrument not only the car

but also the race car driver to try to

get a glimpse into what was going on in

their head as they were doing this now

this is dr. Lena Harvick applying

electrodes to the head of john morton

john morton is a former can-am and EMSA

driver who’s also a class champion at

Lamar fantastic driver and very willing

to put up with graduate students and

this sort of research she’s putting

electrodes on his head so that we can

monitor the election

activity in John’s brain as he races

around the track now clearly we’re not

gonna put a couple of electrodes on his

head and understand exactly what all of

his thoughts are on the track

however neuroscientists have identified

certain patterns that let us tease out

some very important aspects of this for

instance the resting brain tends to

generate a lot of alpha waves

in contrast fatal waves are associated

with a lot of cognitive activity like

visual processing things where the

driver is is thinking quite a bit now we

can measure this and we can look at the

relative power between the theta waves

and the alpha waves this gives us a

measure of mental workload how much the

driver is actually challenged

cognitively at any point along the track

now we wanted to see if we could

actually record this on the track so we

headed down south to Laguna Seca we’re

gonna take as a legendary Raceway about

halfway between Salinas and Monterey it

has a curve there called the corkscrew

now the corkscrew is a chicane followed

by a quick right-handed turn as the road

drops three stories now the strategy for

driving this has explained to me was you

aim for the bush in the distance and as

the road falls away you realize it was

actually the top of the tree alright so

thanks to the revs program in Stanford

we were able to take John there and put

him behind the wheel of a 1960 Porsche

Abarth Carrera life is way too short for

boring cars so here you see John on the

track he’s going up the hill Oh somebody

like that and you can see actually his

mental workload measuring here in the

red bar you can see his actions as he

approaches now watch he has to downshift

and then he has to turn left look for

the tree and down not surprisingly you

can see this is a pretty challenging

task you can see his mental workload

spike as he goes through this as you

would expect with something that

requires this level of complexity but

what’s really interesting is to look at

areas to the track where his mental

workload doesn’t increase I’m gonna take

you around now to the other side of the

track turn 3 and John’s gonna go into

that corner of the rear end of the car

is going to begin to slide out he’s

gonna have to correct for that with

steering so watch as John does this here

watch the mental workload and watch the

steering the

car begins to slide out dramatic

maneuver to correct it and no change

whatsoever in the mental workload not a

challenging task in fact entirely

reflexive now our data processing on

this is still preliminary but it really

seems that these phenomenal feats that

the race car drivers are performing are

instinctive they are things that they

have simply learned to do it requires

very little mental workload for them to

perform these amazing feats and their

actions are fantastic this is exactly

what you want to do on the steering

wheel to catch the car in this situation

now this has given us tremendous insight

and inspiration for our own autonomous

vehicles we started to ask the question

can we make them a little less

algorithmic and a little more intuitive

can we take this reflexive action that

we see from the very best racecar

drivers introduce it to our cars and

maybe even into a system that could get

on your car in the future that would

take us a long step along the road to

autonomous vehicles that drive as well

as the best humans but it’s made us

think a little bit more deeply as well

do we want something more from our car

than to simply be a chauffeur do we want

our car to perhaps be a partner a coach

someone that can use their understanding

of the situation to help us reach our

potential can in fact the technology not

simply replace humans but allow us to

reach the level of reflex and intuition

that we’re all capable of so as we move

forward into this technological future I

want you to just pause and think of that

for a moment what is the ideal balance

of human and machine and as we think

about that

let’s take inspiration from the

absolutely amazing capabilities of the

human body and the human mind thank you

所以你们中有多少人曾经

在你

真的不应该

开车的时候开车

可以多

开几英里 也许你认为

我比其他人喝得少

如果你的仪表板上有一个按钮

,你可以按下它,

汽车就会让你安全回家

,那就

太好了,这就是自动驾驶

汽车的承诺 他们

在世界博览会上的 Futurama 展台

现在是那些

似乎总是在未来 20 年左右的梦想之一,

现在两周前,

当内华达州

授予谷歌的自动驾驶汽车

的第一个许可证时,这个梦想向前迈进了一步。 n 自动

驾驶汽车清楚地表明

他们在内华达州的道路上测试它是合法的,

现在加利福尼亚州正在考虑

类似的立法,这将

确保自动驾驶汽车不是现在

必须留在拉斯维加斯的那些东西之一

斯坦福大学,我们一直

在研究自动驾驶汽车——但是

你看到的东西略有不同,

我们一直在开发机器人

赛车,现在实际上可以将

自己推到

物理性能的极限,为什么我们

要这样做 这有两个

很好的理由首先我们

相信,在人们将

控制权交给自动驾驶汽车之前,如果你像我和其他 70% 的人

一样,自动驾驶汽车应该至少和

现在最好的人类司机一样好

知道我们是

高于平均水平的车手的人群 你知道

这是一个非常高的标准 还有另一个

原因,就像赛车手

可以利用轮胎之间的所有

摩擦 e 在路上,所有汽车的

能力都尽可能快地行驶

我们希望使用所有这些能力

来避免任何事故,我们现在可以

将汽车推到极限,不是因为

你开得太快,而是因为

你 我遇到了结冰的

路况在这些情况下发生了变化

我们想要一辆

能够避免任何可以物理避免的事故的汽车

我必须承认

还有第三种动机

你看我对赛车充满热情

过去我是一名赛车手、

乘务长和驾驶教练,尽管

可能没有达到你

目前所期望的水平

我们在实验室开发的东西之一 我们已经开发了

几辆车

相信是世界上第

一辆自动漂移的汽车它是另一个

可能没有

太多竞争

但这是p1的类别它是完全由

学生制造的

电动汽车,通过使用其

后轮驱动和前轮驱动

线控可以在拐角处漂移

它可以像拉力赛车手一样侧向行驶

即使在光滑不变的

表面上也始终能够走最窄的弯道 永不旋转 我们还

与大众甲骨文公司合作开发了雪莉,这

是一款自动驾驶

赛车 每小时 150 英里

穿过 Bonneville Salt Flats

在阳光下绕过 Thunderhill 赛道公园

,风雨交加,在科罗拉多州派克峰爬山路线

的 153 个转弯和 12.4 英里的路程中

行驶,

我想它会去 不用说

我们在这方面玩得很开心,但

事实上,在开发这些自动驾驶汽车的过程中,我们还开发了一些其他东西,我们已经

对人类赛车手

的能力产生了极大的赞赏 研究了

这些汽车性能如何的问题,我们

想将它们与我们的人类同行进行比较

,我们发现他们的

人类同行现在我们

可以 拿一张赛道地图,我们可以制作

汽车的数学模型,

通过一些迭代,我们实际上可以

找到绕这条赛道最快的方式,

我们将其与我们从专业车手那里记录的数据

对齐,并且相似性绝对显着,是的

这里有细微的差别,

但人类赛车手能够

走出并驾驶一条惊人的快线,

而无需使用一种算法来

比较

在这个角落尽可能快地行驶和

节省一点时间之间的权衡

在这里的直道中,他们不仅能够一圈又一圈地

做到这一点

,他们能够

走出去并且始终如一地做到这一点

,每次都将赛车推向极限

,看着你把它们

放在一个新的 几圈后,他们

找到了那辆车中最快的线路,然后

他们就开始比赛了

ed 发现我们

决定不仅对汽车

而且对赛车手进行检测,以试图

了解

他们现在正在这样做时脑子里发生的事情,

这是博士。 莉娜哈维克

在约翰莫顿的头上应用电极

约翰莫顿是前 Can-am 和 EMSA

车手,她也是

Lamar 出色车手的班级冠军,非常

愿意忍受研究生和

她将

电极放在他头上的这种研究 这样我们就可以

监控

约翰

在赛道上奔跑

时大脑中

的选举活动了 让我们梳理一下

其中一些非常重要的方面,

例如,静止的大脑倾向于

产生大量的阿尔法波

,相比之下,致命的波

与许多认知活动有关,比如

视觉处理事情,

驾驶员现在正在思考很多事情 我们

可以测量这个,我们可以查看

theta 波和 alpha 波之间的相对功率,

这给了我们一个

衡量脑力劳动量的方法 d

车手

在赛道上的任何时候实际上在认知上受到了多大的挑战,

现在我们想看看我们是否

真的可以在赛道上记录下来,所以我们

向南前往拉古纳塞卡,我们

将把它当作一条传奇的赛道,

大约在萨利纳斯之间 和蒙特雷,那里

有一条叫做开瓶器

的弯道,现在开瓶器是一个弯道,然后

是一个快速的右转,因为道路

下降了三层,现在

开车的策略已经向我解释了你的

目标是远处的灌木丛,

当道路逐渐消失时,您会意识到它

实际上是树顶,所以

感谢斯坦福大学的转速计划,

我们能够将约翰带到那里并让

他坐在 1960 年保时捷阿巴特卡雷拉的方向盘后面,

生活太短了,不会

无聊 汽车,所以在这里你看到约翰在赛道上,

他正在上山哦,

这样的人,你可以看到他的

精神工作量在

红色条中测量你可以看到他

接近时的动作现在看 他必须降档

,然后他必须左转

寻找树并向下看,这并不奇怪,您

可以看到这是一项非常具有挑战性的

任务,您可以看到他的心理工作量

激增,因为他经历了这个过程,正如您

所期望的那样

需要这个级别的东西 复杂性,

但真正有趣的是

查看赛道上他的脑力

工作量不会增加的区域我现在要带

你到赛道的另一边

转弯 3 约翰要进入

后端的那个角落

汽车开始滑出,他

将不得不用转向来纠正这个问题,

所以看约翰在这里做这个

观察精神工作量并观察

转向

汽车开始滑出戏剧性的

动作来纠正它,并且没有

任何变化 脑力工作量不是一项

具有挑战性的任务,实际上完全是

反身的,现在我们对此的数据处理

仍处于初步阶段,但

看起来赛车手正在执行这些惊人的壮举

本能的 他们是他们刚刚

学会做的事情 他们只需要

很少的脑力工作就

可以完成这些惊人的壮举 他们的

动作非常棒 这

正是您现在想要在方向盘上做的

以在这种情况下抓住汽车

这为我们自己的自动驾驶汽车提供了巨大的洞察力

和灵感,

我们开始提出这个问题

,我们能否让它们的

算法少一点,更直观

一点,我们能否采取

我们从最优秀的赛车手那里看到的这种反射性动作

我们的汽车,

甚至可能进入一个系统,该系统将来可以安装

在你的汽车上,这

将使我们在自动驾驶汽车的道路上迈出一大步,

它的驾驶能力

和最优秀的人类一样,但这也让我们

思考得更深入一些

我们是否希望我们的汽车提供更多的东西

而不仅仅是一个

司机 事实上,帮助我们发挥

潜力的技术不仅

可以取代人类,还可以让我们

达到我们都有能力达到的反射和直觉水平

,所以当我们

向这个技术未来前进时,我

希望你停下来, 想一想人与机器

的理想平衡是什么

,当我们

想到这一点时,

让我们从人体和人类思想的

绝对惊人的能力中汲取灵感,

谢谢