Create a Safer World for Transportation | Jibo He | TEDxWichitaStateUniversity

how many of you are excited about

how many of you are excited about driverless vehicle with driverless

driverless vehicle with driverless

driverless vehicle with driverless vehicle influence our transportation

vehicle influence our transportation

vehicle influence our transportation safety the driver the insurance company

safety the driver the insurance company

safety the driver the insurance company the auto company and the traffic rose

the auto company and the traffic rose

the auto company and the traffic rose today I’m going to answer these

today I’m going to answer these

today I’m going to answer these questions by explaining the human factor

questions by explaining the human factor

questions by explaining the human factor issue in the coming age of Javanese

issue in the coming age of Javanese

issue in the coming age of Javanese vehicle driving is a great player and

vehicle driving is a great player and

vehicle driving is a great player and it’s a survival need for every one of us

it’s a survival need for every one of us

it’s a survival need for every one of us in America but sometimes driving can be

in America but sometimes driving can be

in America but sometimes driving can be tiresome or even 10-4 from time time we

tiresome or even 10-4 from time time we

tiresome or even 10-4 from time time we felt that we needed to drive even when

felt that we needed to drive even when

felt that we needed to drive even when we are drunk distracted and drowsy my

we are drunk distracted and drowsy my

we are drunk distracted and drowsy my job has to persuade you don’t do this

job has to persuade you don’t do this

job has to persuade you don’t do this stuff when you try and for some of us we

stuff when you try and for some of us we

stuff when you try and for some of us we may have difficulty to drive women need

may have difficulty to drive women need

may have difficulty to drive women need to continue out driving such as with the

to continue out driving such as with the

to continue out driving such as with the assistance of low vision telescope just

assistance of low vision telescope just

assistance of low vision telescope just like the old saying puts to our yes

like the old saying puts to our yes

like the old saying puts to our yes human human error year the third major

human human error year the third major

human human error year the third major contributing factors of the top 10

contributing factors of the top 10

contributing factors of the top 10 global causes of liability north by the

global causes of liability north by the

global causes of liability north by the total value of claims it accounted for

total value of claims it accounted for

total value of claims it accounted for as many as like in percent of the total

as many as like in percent of the total

as many as like in percent of the total liability noises to relieve human from

liability noises to relieve human from

liability noises to relieve human from the driving pens driving difficulty and

the driving pens driving difficulty and

the driving pens driving difficulty and human error scientists and engineers nag

human error scientists and engineers nag

human error scientists and engineers nag me have been inventing technology to

me have been inventing technology to

me have been inventing technology to improved traveling safety and reduce

improved traveling safety and reduce

improved traveling safety and reduce human error one of the neatest solution

human error one of the neatest solution

human error one of the neatest solution years the driverless vehicle by

years the driverless vehicle by

years the driverless vehicle by definition ad ravenous vehicle years a

definition ad ravenous vehicle years a

definition ad ravenous vehicle years a robotic vehicle that he has designed to

robotic vehicle that he has designed to

robotic vehicle that he has designed to travel between destinations without a

travel between destinations without a

travel between destinations without a human operator by a yes meaning without

human operator by a yes meaning without

human operator by a yes meaning without a human operator we thought

a human operator we thought

a human operator we thought exempt from human error is it the

exempt from human error is it the

exempt from human error is it the travelers vehicle years armed with note

travelers vehicle years armed with note

travelers vehicle years armed with note of distances such as that the radar

of distances such as that the radar

of distances such as that the radar system the knee decision and the camera

system the knee decision and the camera

system the knee decision and the camera system it can do a lot of fancy features

system it can do a lot of fancy features

system it can do a lot of fancy features such as the traffic sign recognition

such as the traffic sign recognition

such as the traffic sign recognition collision avoidance system or Park the

collision avoidance system or Park the

collision avoidance system or Park the vehicle for you automatically

vehicle for you automatically

vehicle for you automatically this figure shows how the travelers

this figure shows how the travelers

this figure shows how the travelers vehicle scan the environment with his

vehicle scan the environment with his

vehicle scan the environment with his camera system and the reader system a

camera system and the reader system a

camera system and the reader system a lot of IT company our auto company are

lot of IT company our auto company are

lot of IT company our auto company are competing in this race of travelers

competing in this race of travelers

competing in this race of travelers vehicle such as a general motor BMW

vehicle such as a general motor BMW

vehicle such as a general motor BMW Google Chan and uber like that the broth

Google Chan and uber like that the broth

Google Chan and uber like that the broth and the Left shows Google’s driverless

and the Left shows Google’s driverless

and the Left shows Google’s driverless vehicle which probably the most popular

vehicle which probably the most popular

vehicle which probably the most popular well and where can you see a Japanese

well and where can you see a Japanese

well and where can you see a Japanese vehicle the state government are pretty

vehicle the state government are pretty

vehicle the state government are pretty supportive of the travelers vehicle

supportive of the travelers vehicle

supportive of the travelers vehicle industry in 2017 as many as thirty three

industry in 2017 as many as thirty three

industry in 2017 as many as thirty three states have introduced legislation and

states have introduced legislation and

states have introduced legislation and travel is vehicle you probably can see a

travel is vehicle you probably can see a

travel is vehicle you probably can see a driverless vehicle in California Nevada

driverless vehicle in California Nevada

driverless vehicle in California Nevada or Florida the automation levels of

or Florida the automation levels of

or Florida the automation levels of travel is vehicle is categorized into

travel is vehicle is categorized into

travel is vehicle is categorized into five four level zero there’s no any

five four level zero there’s no any

five four level zero there’s no any fancy features is probably a car in

fancy features is probably a car in

fancy features is probably a car in 1960s you never won this cars can handle

1960s you never won this cars can handle

1960s you never won this cars can handle one task at a time such as automatic

one task at a time such as automatic

one task at a time such as automatic braking and never to these cars could

braking and never to these cars could

braking and never to these cars could have at least atul automatic features

have at least atul automatic features

have at least atul automatic features this never won and never to are the cars

this never won and never to are the cars

this never won and never to are the cars which we can buy right now is the fancy

which we can buy right now is the fancy

which we can buy right now is the fancy features that vehicle dealers are trying

features that vehicle dealers are trying

features that vehicle dealers are trying to see us the level three this cars can

to see us the level three this cars can

to see us the level three this cars can handle dynamic driving tasks but my

handle dynamic driving tasks but my

handle dynamic driving tasks but my still need human interventions in level

still need human interventions in level

still need human interventions in level four these cars are officially Japanese

four these cars are officially Japanese

four these cars are officially Japanese in certain environments you never fight

in certain environments you never fight

in certain environments you never fight these cars don’t need the presence of a

these cars don’t need the presence of a

these cars don’t need the presence of a human driver so strictly speaking

human driver so strictly speaking

human driver so strictly speaking level 3 and level 4 double his vehicle

level 3 and level 4 double his vehicle

level 3 and level 4 double his vehicle and not Germany’s you always narrows our

and not Germany’s you always narrows our

and not Germany’s you always narrows our current technology is we are referred to

current technology is we are referred to

current technology is we are referred to as in ever three just like a PC can turn

as in ever three just like a PC can turn

as in ever three just like a PC can turn blue to our yes machine to everybody

blue to our yes machine to everybody

blue to our yes machine to everybody every familiar with this so example

every familiar with this so example

every familiar with this so example years that the test nurse tell a driver

years that the test nurse tell a driver

years that the test nurse tell a driver was killed in a fatal crash using the

was killed in a fatal crash using the

was killed in a fatal crash using the auto pedal features it happened because

auto pedal features it happened because

auto pedal features it happened because the auto pilot felt recognized the white

the auto pilot felt recognized the white

the auto pilot felt recognized the white side of the tractor-trailer against a

side of the tractor-trailer against a

side of the tractor-trailer against a frightening each sky another example

frightening each sky another example

frightening each sky another example years Google’s self-driving vehicle

years Google’s self-driving vehicle

years Google’s self-driving vehicle crashed with a bus when this time – the

crashed with a bus when this time – the

crashed with a bus when this time – the traversal ghosts Ottomans vehicle saw a

traversal ghosts Ottomans vehicle saw a

traversal ghosts Ottomans vehicle saw a car approaching in the left side of the

car approaching in the left side of the

car approaching in the left side of the mirror and believed the car would stop

mirror and believed the car would stop

mirror and believed the car would stop or slow down to net the Google’s

or slow down to net the Google’s

or slow down to net the Google’s autonomous vehicle continuous drive

autonomous vehicle continuous drive

autonomous vehicle continuous drive approximately three seconds later the

approximately three seconds later the

approximately three seconds later the Google’s as a Google autonomous vehicle

Google’s as a Google autonomous vehicle

Google’s as a Google autonomous vehicle reenter the center of the nen it made

reenter the center of the nen it made

reenter the center of the nen it made contact with the bus

contact with the bus

contact with the bus the advanced driver missed vehicle still

the advanced driver missed vehicle still

the advanced driver missed vehicle still make accident because of the

make accident because of the

make accident because of the insufficient consideration of the

insufficient consideration of the

insufficient consideration of the limitation of driverless vehicle and the

limitation of driverless vehicle and the

limitation of driverless vehicle and the glories of the human factor issues here

glories of the human factor issues here

glories of the human factor issues here are a several human factor issue we

are a several human factor issue we

are a several human factor issue we should consider Ford ravenous vehicle

should consider Ford ravenous vehicle

should consider Ford ravenous vehicle the first one is situational awareness

the first one is situational awareness

the first one is situational awareness the traveling vehicle relies on the

the traveling vehicle relies on the

the traveling vehicle relies on the camera and a reader system to scan the

camera and a reader system to scan the

camera and a reader system to scan the sins the computer vision algorithm the

sins the computer vision algorithm the

sins the computer vision algorithm the camera uses a the tag object in the

camera uses a the tag object in the

camera uses a the tag object in the dimensions such as our car or traffic

dimensions such as our car or traffic

dimensions such as our car or traffic zone or pedestrians but the computer

zone or pedestrians but the computer

zone or pedestrians but the computer vision algorithm often lacks ability to

vision algorithm often lacks ability to

vision algorithm often lacks ability to predict a future action of the animals

predict a future action of the animals

predict a future action of the animals in the environment which is the level

in the environment which is the level

in the environment which is the level three of situational awareness

three of situational awareness

three of situational awareness in this graph and left it’s very easy

in this graph and left it’s very easy

in this graph and left it’s very easy for the human eye to predict that the

for the human eye to predict that the

for the human eye to predict that the box the hundred car is likely to fall we

box the hundred car is likely to fall we

box the hundred car is likely to fall we should be cautious when we drive below

should be cautious when we drive below

should be cautious when we drive below yet but the computer vision algorithm

yet but the computer vision algorithm

yet but the computer vision algorithm you can only detect existence of the box

you can only detect existence of the box

you can only detect existence of the box behind the attractor or which is

behind the attractor or which is

behind the attractor or which is underground if that cannot detect it and

underground if that cannot detect it and

underground if that cannot detect it and predict the box in likely to fail you

predict the box in likely to fail you

predict the box in likely to fail you can only detect it we it is under grunt

can only detect it we it is under grunt

can only detect it we it is under grunt which might be too late for traveling

which might be too late for traveling

which might be too late for traveling safety the second issue is trust and

safety the second issue is trust and

safety the second issue is trust and complacency Automation is not 100%

complacency Automation is not 100%

complacency Automation is not 100% reliable over trust and complacency can

reliable over trust and complacency can

reliable over trust and complacency can lead to disastrous accident when the

lead to disastrous accident when the

lead to disastrous accident when the automation fails in this cartoon the

automation fails in this cartoon the

automation fails in this cartoon the police is writing a road completion see

police is writing a road completion see

police is writing a road completion see ticket for the driver who had been

ticket for the driver who had been

ticket for the driver who had been driving so well in real life a husband

driving so well in real life a husband

driving so well in real life a husband often brags about his driving skills

often brags about his driving skills

often brags about his driving skills it’s really important for the wife to

it’s really important for the wife to

it’s really important for the wife to remind the husband that he should not be

remind the husband that he should not be

remind the husband that he should not be so complacent about his driving skills

so complacent about his driving skills

so complacent about his driving skills because his drum skill may not be as

because his drum skill may not be as

because his drum skill may not be as good as his odious and you may write

good as his odious and you may write

good as his odious and you may write your Javanese vehicle safe and son for

your Javanese vehicle safe and son for

your Javanese vehicle safe and son for at least 100 years 200 days and pretty

at least 100 years 200 days and pretty

at least 100 years 200 days and pretty confident about it but just imagine in

confident about it but just imagine in

confident about it but just imagine in this picture and the right this shows a

this picture and the right this shows a

this picture and the right this shows a very demanding night hand driving in a

very demanding night hand driving in a

very demanding night hand driving in a raining day and your driveway chol

raining day and your driveway chol

raining day and your driveway chol suddenly wake you up a lot you you need

suddenly wake you up a lot you you need

suddenly wake you up a lot you you need take over the control because it needs a

take over the control because it needs a

take over the control because it needs a reboot the third issue here is insurance

reboot the third issue here is insurance

reboot the third issue here is insurance and legal issues who must carry motor

and legal issues who must carry motor

and legal issues who must carry motor vehicle insurance and how to allocate

vehicle insurance and how to allocate

vehicle insurance and how to allocate liability issue when crash occurs the

liability issue when crash occurs the

liability issue when crash occurs the liability no we make should make a good

liability no we make should make a good

liability no we make should make a good balance between predict protecting the

balance between predict protecting the

balance between predict protecting the customer

customer

customer and the noise should not hinder the

and the noise should not hinder the

and the noise should not hinder the development of travelling vehicle

development of travelling vehicle

development of travelling vehicle technology the fourth one years customer

technology the fourth one years customer

technology the fourth one years customer acceptance according to a resinous

acceptance according to a resinous

acceptance according to a resinous survey in 2016 55% of customers said

survey in 2016 55% of customers said

survey in 2016 55% of customers said they would not write in a autonomous

they would not write in a autonomous

they would not write in a autonomous vehicle and 50% says manufacturer should

vehicle and 50% says manufacturer should

vehicle and 50% says manufacturer should bear responsibility for an accident and

bear responsibility for an accident and

bear responsibility for an accident and only 25% of them are willing to pay more

only 25% of them are willing to pay more

only 25% of them are willing to pay more for Javanese vehicle to cover the

for Javanese vehicle to cover the

for Javanese vehicle to cover the manufactures nobility in case of an

manufactures nobility in case of an

manufactures nobility in case of an accident

accident

accident the fifth one is the security and

the fifth one is the security and

the fifth one is the security and privacy issues just like a hacker can

privacy issues just like a hacker can

privacy issues just like a hacker can access computer and steal our identity

access computer and steal our identity

access computer and steal our identity it’s very concerning that if your boss

it’s very concerning that if your boss

it’s very concerning that if your boss know when you go to a bar in your

know when you go to a bar in your

know when you go to a bar in your Javanese vehicle and it’s more worried

Javanese vehicle and it’s more worried

Javanese vehicle and it’s more worried than that he could country your steering

than that he could country your steering

than that he could country your steering wheel and drag you back to your office

the last one but the note this is

the last one but the note this is control take overs driverless vehicle

control take overs driverless vehicle

control take overs driverless vehicle technology is not 100% reliable

technology is not 100% reliable

technology is not 100% reliable for example the Google’s driverless

for example the Google’s driverless

for example the Google’s driverless vehicle currently cannot drive at a

vehicle currently cannot drive at a

vehicle currently cannot drive at a speed of more than 40 miles per hour it

speed of more than 40 miles per hour it

speed of more than 40 miles per hour it happens because Google’s driverless

happens because Google’s driverless

happens because Google’s driverless vehicle get a slow ticket in 2016 so

vehicle get a slow ticket in 2016 so

vehicle get a slow ticket in 2016 so well control take over years mediate

well control take over years mediate

well control take over years mediate it’s very important for us to access

it’s very important for us to access

it’s very important for us to access whether the driver is capable of taking

whether the driver is capable of taking

whether the driver is capable of taking a control in these cases technology such

a control in these cases technology such

a control in these cases technology such as AI tracker Nexus to evaluate whether

as AI tracker Nexus to evaluate whether

as AI tracker Nexus to evaluate whether the driver is capable of taking control

the driver is capable of taking control

the driver is capable of taking control are very important in the past several

are very important in the past several

are very important in the past several years we have been given a viable

years we have been given a viable

years we have been given a viable technology to sense the state of human

technology to sense the state of human

technology to sense the state of human for example as many of you know I do a

for example as many of you know I do a

for example as many of you know I do a lot of work using go gas uncool glass

lot of work using go gas uncool glass

lot of work using go gas uncool glass has a pro Kadima sensor which is a

has a pro Kadima sensor which is a

has a pro Kadima sensor which is a highlighted in the red circle pointing

highlighted in the red circle pointing

highlighted in the red circle pointing towards the eyes and will our eyes blink

towards the eyes and will our eyes blink

towards the eyes and will our eyes blink it will cause a spike in the value of

it will cause a spike in the value of

it will cause a spike in the value of the the proximity sensor as this figure

the the proximity sensor as this figure

the the proximity sensor as this figure shows and we can use this proximity

shows and we can use this proximity

shows and we can use this proximity sensor of good grass to detect eye

sensor of good grass to detect eye

sensor of good grass to detect eye blinks which is a reliable measurement

blinks which is a reliable measurement

blinks which is a reliable measurement of Jar fatigue alternatively if you says

of Jar fatigue alternatively if you says

of Jar fatigue alternatively if you says I don’t have a good grass you can use a

I don’t have a good grass you can use a

I don’t have a good grass you can use a smartphone we have developing a

smartphone we have developing a

smartphone we have developing a smartphone application to detect driver

smartphone application to detect driver

smartphone application to detect driver fatigue

fatigue

fatigue you command your smartphone and on the

you command your smartphone and on the

you command your smartphone and on the dashboard and pointing towards the

dashboard and pointing towards the

dashboard and pointing towards the driver and you use a camera to detect

driver and you use a camera to detect

driver and you use a camera to detect the human face the eyes and count the

the human face the eyes and count the

the human face the eyes and count the height of the dark pupil and use this to

height of the dark pupil and use this to

height of the dark pupil and use this to evaluate whether your eye is blinking a

evaluate whether your eye is blinking a

evaluate whether your eye is blinking a lot and that we can monitor driver

lot and that we can monitor driver

lot and that we can monitor driver fatigue too

fatigue too

fatigue too similarly the CEO of Livadia our lands

similarly the CEO of Livadia our lands

similarly the CEO of Livadia our lands to the AI co-pilot at CES 2017 and they

to the AI co-pilot at CES 2017 and they

to the AI co-pilot at CES 2017 and they are AI copilot can do face recognition

are AI copilot can do face recognition

are AI copilot can do face recognition hi tracking gaya tracking and

hi tracking gaya tracking and

hi tracking gaya tracking and lip-reading

lip-reading

lip-reading so in the age of Javanese vehicle unlike

so in the age of Javanese vehicle unlike

so in the age of Javanese vehicle unlike what the lam travel is vehicle we

what the lam travel is vehicle we

what the lam travel is vehicle we suggest driver still plays an important

suggest driver still plays an important

suggest driver still plays an important role if not more important than

role if not more important than

role if not more important than currently we should integrate human

currently we should integrate human

currently we should integrate human factor and technology to combine the

factor and technology to combine the

factor and technology to combine the strength of human driver and robotic

strength of human driver and robotic

strength of human driver and robotic driver to make driving safer that’s all

driver to make driving safer that’s all

driver to make driving safer that’s all for today’s talk I hope you drive back

for today’s talk I hope you drive back

for today’s talk I hope you drive back home safely every day thank you

home safely every day thank you

home safely every day thank you [Applause]