self-driving cars are the future and I

don't think anyone questions that now

some people may not necessarily like the

idea of giving up control to a computer

but self-driving cars have the

theoretical potential to eliminate

traffic to decrease fuel consumption and

to transport more people more safely

than ever before Google way most

sponsored my trip out to their Chandler

Arizona Depot this past weekend where

they have hundreds of cars roaming the

streets autonomously and while the

incredible technology that we'll talk

about is better than it's ever been

before I still think that we are many

many years away from having cars capable

of truly driving themselves parked in

our garage why well let's find out this

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the Society of Automotive Engineers

partnered with the National Highway

Transportation and Safety Administration

that's a mouthful have outlined five

varying levels of autonomy and it's

important to note the distinction

between each level now the first three

levels they still require a human driver

with only the last two being high

automation or full self-driving now many

vehicles today ship with level one

driver assist hardware as a standard

feature like radar cruise control now

more advanced systems like Tesla

autopilot and Cadillacs super cruise are

generally considered by experts as a

high level to automation if you're

interested in what the cars you can buy

today are truly capable of be sure to

check out my video I did a few months

ago on Tesla's autopilot capabilities

they still require the constant

attention of the driver and because of

that they're not level three and they

can only operate dynamic driving tasks

in very specific scenarios such as on

highways that said when they are in

their controlled limited environments

they generally manage all driving tests

such as speed steering traffic awareness

etc now there's a big jump in between

level 3 and level 4 systems level 4

systems are being tested internally by

over a dozen companies but nobody gets

recognition for full self-driving more

so than way moe and for good reason what

started as a Google X project is now its

own independent

company under alphabet in nearly ten

years later wham-o has no problem

bringing press like me to check out

their cars they're even actually

operating a closed beta taxi service to

the citizens of Chandler Arizona pretty

cool their cars use four types of

sensors built in-house and retrofitted

onto their fleet of more than six

hundred sexy white Chrysler Pacific and

minivans okay so maybe not that sexy but

they are packed with amazing tech most

obvious is the funky-looking ball cap or

took for my Canadian viewers with eight

optical cameras that can see 360 degrees

around the vehicle now they also use

front and rear radar sensors to detect

objects in the rain the snow and the fog

or vision is basically reduced most

notably however and this is something

that is exempt from basically all

vehicles being sold today but is present

on Google Way MO and many other really

advanced off driving projects is lidar

now think radar but using lasers unlike

Tesla lame-o believes that lidar is

absolutely necessary for safe level four

and up autonomy lame-o says that it's

light our system which it's built

in-house can reliably map visual depth

which optical cameras and even our

eyeballs kind of struggle with and it's

accurate enough to see a helmet more

than two football fields away in

distance pretty crazy but regardless of

methodology all of these companies are

trying to create what's called sensor

fusion or the idea that combining data

from multiple disparate sources

increases the computer certainty of the

object's existence basically three

different types of sensors confirming

the existence of an obstacle is much

better than one confirming the existence

of an obstacle

especially since each sensor technology

has different strengths and weaknesses

but you see gathering data it's kind of

the easy part actually interpreting it

is where it gets really hard look us

monkey brains humans we're not really

very great drivers we're becoming

increasingly distracted by our

smartphones and we're even horrible at

basic principles of driving like

properly zipper merging keeping right on

the highway etc a lot of things that

could reduce traffic but for as bad as

we are at driving we really don't get in

accidents

often at least not on average because

there are more than six million car

accidents that occur in the United

States alone every year however that's

only an average of about 519 accidents

per 100 million miles driven which means

99.999 five three nines five percent of

the time that we're driving we don't

crash self-driving cars need to be at

minimum as reliable as the average human

driver before mass adoption really makes

sense

Elon Musk said 99% accuracy is easy

99.9% accuracy is extremely difficult

and each added nine after the decimal

point is orders of magnitude more tricky

if not impossible and we need at least

three point five nines now wham-o may

have very well surpassed that threshold

because after 10 million miles driven

their system has never caused an

accident the average driver would have

crashed more than fifty three times in

that same distance now way most still

puts employees in the cockpit for safety

reasons but I went on a 15-minute drive

without him intervening even once in

fact I was the one that pushed the start

ride button inside the car so he did

literally nothing the car handled the

stop signs traffic lights cross traffic

even parking lots without issue it

didn't drive as smoothly as a human

driver acceleration lane changes and

especially turns were at times just a

tiny bit twitchy robotic well really did

it was kind of just like a really really

safe teenager who never gets in

accidents not a bad thing but not quite

perfect now that said I never felt

unsafe and I would absolutely fall

asleep in that car driverless without

any concern well so then what's the

problem sounds like we're ready to

rumble well you see wham-o is level four

but only level four in areas that have

been specifically hand mapped that's

right

Google drives around and automatically

collects a bunch of data but then they

have to use human labor to actually

build out their mapping structure and I

probably shouldn't make any assumptions

but given the fact that they're

operating to the public in a very small

suburb of Phoenix it makes me think that

this requires a fair amount of human

capital

to build out and that's after more than

eight years since Google initially

revealed their low level for

self-driving vehicles I'm seeing this

all because despite what certain CEOs

proclaim I don't foresee mass level five

self-driving and hitting the roads by

the end of this year in fact I could be

wrong but I still estimate that it's

more than a decade away and when I asked

industry experts what they thought they

said my estimation was probably still a

little bit too optimistic I often people

see proclaimed that the tech is ready

we're just waiting on legislative

approval the government is slow ready

sorry pal but that's not entirely

accurate now law in the United States is

typically reactive however some states

such as mine Utah have already

proactively passed legislation that

gives level four and level five vehicles

full permissive use even for passengers

without a driver's license so it's it's

not legislation that's the easy part

it's the tech we're still not there yet

now Google way mode is incredible you

can't help but be amazed as you sit in

the backseat and watch the car drive

itself fully autonomously it truly feels

like you're in the future it will be a

game-changer it will be a black swan it

will change the world

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thank you so much for watching

do you agree disagree let me know in the

comments down below but most importantly

and as always stay snazzy see you later

folks