[Music] [Music] [Music] [Music] [Music]
[Music] [Music] [Music] [Music] [Music]
[Music] [Music] Yes. So, my name is
Henry as a technical expert within
Volvo Cars. So, I'm going to talk a
little bit about The Drive Me Project.
There are some updates. Maybe some
of you have seen this presentation
already before I have updated it's
likely with the newer things. It's not
so technical, so it's more about how
you know the focus of the project and
so on. And then we end up with the
technical parts in the app. Looking also
a little bit of the new cars that we
have been manufacturing. Okay, thank
you. Now, I need to use this one. Okay,
so anyway The Volvo Philosophy and
cars in general is all about freedom right.
So, this is really the focus I
think also for autonomous vehicles in
a way. So, it is still about freedom
when it come to autonomous vehicles
because its freedom to do whatever you
like when you drive and that's really
important because you can basically
keep your life more time and that is a
very precious thing today. Today the
fact is that when you look on the
roads like here in the US it's really
really crowded. People are sitting in
cues every day, every week, every year
and of course they do a lot of other
things. And during that time when they
do other things which is about 20% of
the time if you looked deep into you
know monitoring systems, we have had
in research vehicles on the road and
we can see that approximately 20% of
the times, people are not looking on
the road. And that we did up with these
active safety systems but of course
people would like to actually grab more
time and then we go in to autonomous
driving. So, what are the Global
Megatrends? It is a lot about the global
organization and also the number of
mega cities that this coming. I mean
you can see the number of megacities in
EU is not really growing but for sure
they are in China and in Southeast.
So, and that also there are qualities
that made you healthy issue. For sure
when you drive as a driver, you are
not really good on using your throttle
and brakes and so on, so by actually
taking that into the autonomous
vehicle you can do a much much better
driving situation and that also it
gives you less exposed. The desire for
individual mobility is still there, so
we believe our core manufacturers, I
think that we will still have you know,
we will have these vehicles that
we can drive on the road, we can do
whatever we like in some areas but in
the cities we believe that will take
some while to actually perform these
type of things. So, it will be the
major roads around the cities where we
first start to do autonomous driving.
Let's go to the next one. So, the Volvo
vision of course "New Volvo's shouldn't
crash" I mean that's really important
that we set this target many years
ago that in fact we shouldn't have
any crashes. This is actually true in
one of the car models already. Well
not crashes, sorry, killed, I would say.
This is really our problem today
because our kids, I imagine you have kids.
These guys and girls they really
love to do things with their friends
on the net using Facebook or any other
of these social applications. My girl,
she's not fun to, well she just took
her driver's license. She had real
problems because you know she had a
problem of concentrating on the road.
Because when something happened, she
wanted to immediately react like she
usually does and that is really a problem
for the youngsters. So, we need to help
them. So anyway, the main benefits
is Safety. Environment. Traffic flow
of course. Lower and more effective
infrastructure investments, that's
really important for many of the new
cities because if we apply autonomous
vehicle, what we get is that we could
reduce or actually increase the traffic
flow with about 50% and that's major
thing for the infrastructure departments
of the cities, it's very important.
And of course, use of time. So anyway,
we started this Drive Me Project a
long time ago, actually 2013. We are
now in 2016 and our target is to have
the cars on the roads by 2017. As you
can see, we have also the traffic
authority is with us in this project
and that's pretty important because
we are breaking some new ground and
we need some hands to hold because we
are in some cases in a legal, well
we have some legal problems to some
extent. And we don't know even at this
hour, we don't know really to what
extent we can make the vehicle operating
in those conditions where we allow
it to operate autonomously without
having the supervision of the driver.
So, this is I mean, we are working on this.
So, let's look at this short
movie. [Plays Movie]. Sorry, you can
turn off the video now. I can do that,
sorry. This is quite long actually.
It's available on YouTube. Anyway. So
what, this was kind of the mission from
the start of the project and what we
have done with was looking into where
are the use cases? And the use cases
is usually when you go to work and
back from work of course. But you sit
in these long queues, traffic is not
very fast. So, we decided on having a
target of launching 100 autonomous
vehicles on the road in Gothenburg, in
this ring road as you can see on this
map here. Where actually people is
moving a lot, but to work and back
from work. And this road will have no
special things, it would not be really
adapted but we would have a very very
good map of this road that would be
continuously updated, that's very important
for these cars. Of course, the cars
need to be able to move even without
a map but the map is very crucial for
autonomous driving. There's a lot of
companies that are going into this
area right now, we can see that. The
real importance of this product is
that we intend to use normal customers
drivers like you and me to actually use
these cars. We also will have a lot
of I mean it's a research project so
the important part is to find out what
drivers are doing in the car but also
externally. Because you know how
are the other traffic behaving when
they have an autonomous vehicle by the
side? This is really unknown to us
right now. And a little bit importance
of this area or these roads is that it's
roads that have two lanes. And they
also have a septic guardrail, so it
is kind of a road that is not really
you know you don't have pedestrians. You
don't have all these very very hard
things to take care of. So, it is a
very simplified way of actually start
executing autonomous driving and
understands what's happening. And the city
or actually the speed of these roads
is between 70 and 90 km/h and the
target for our vehicles is to go quicker
than 70 km/h but this is something
that is really hard to do and I will
like talk a little bit about that later
in the technical part. So the research
areas we have is of course the
societal and economic impact because the
states or the road authorities wants
to know, you know what can we gain
by these autonomous vehicles. That's
also the, well of course that's part
of the infrastructure effect but it's
also important to understand what are
the suitable traffic situations. I mean
the [inaudible 12:24] was to be you
know if we have snow and everything,
how to deal with this. I mean we will
probably have some kind of center that
is so to say, "Okay now it's okay to
go, now it's not okay to go on the
road" as well autonomous function. But
also the customer expectations is of
course very important for us. I mean,
this will be of course free to read
about I mean the project reports would
be available so to say for everyone.
The legal expects is of course very,
it's actually quite troublesome because
legal part is moving quite slow but
as you have heard, our president say
that we will actually, when we release
a completely autonomous vehicle where
drivers does not need to make a
surveillance then we actually as Volvo or
as Car manufactures in general, we'll
have to take on the responsibility.
It's like the product you know the
product sales and that's why if it was
a crash or to say then it must be
like this. And that's really the case
already, now right? That if you have a
product and you get in a situation,
then it's up to the manufacturer of the
product to deal with it. So anyway,
the technical challenges is really
really tough. It's important to have
something in all situations so we need
to take care of all types of different
objects on the roads and so on. You
need to have partly redundant control
units. You may not need to be fail
operational but you need to be able to
detect that you have a failure and take
control of it in a safe manner. This
also means that you need to have
redundant brake system. You need to have
redundant steering. You need to have
redundant signaling paths between the
different control units. And you need
to have trusted power distribution
where that means that you, well if one
power fails down the power should
work. And also, some kind of safety
critical HMI that works in collaboration
with the driver in a safe way.
You shouldn't
be able to do what you know think
that the car is autonomous while it's
not autonomous, that's really one
safety critical part that we have to solve.
And actually, you heard also
that we are cooperating with Uber to
actually share some of the costs of
these platforms. But actually, Uber is
not using our technology I mean they
have their own technology for the
sensing and everything that is clear.
This ASIL, Functional Safety Goals, I
don't know if you heard about this
but it's something that is used today
in mid-sensors and in all types of
sensors for autonomous vehicles, it's
becoming very important. Already
within the active safety systems, these,
the ASIL levels is important. And
normally, well when the driver is in
control you have ASIL level B. But if you
go up to full autonomous driving then
you need to have ASIL level D which
is basically, well you need to be able
to take care of any type of error
basically in the control. And if we
look on the services because this is a
sensor conference. We have a lot of
different objects that could be on the
road. I mean, as we know we have elks
that's a problem. You could have you
know we shift the wheels like you do
maybe here in Belgium also but those
actually lay on the road once in a while
or you could have people you know
changing tires and walking out here
on the road. You need to take care of
all these because, I mean if the driver
isn't looking ahead, then of course
the vehicle needs to look ahead. Ah, there
it is. The Sensor Fusion we talked,
I have heard that a little bit in some
other talk so it's really important.
Sensor Fusion means that well basically
that we take the sensors from
different kinds and we fuse them together
and we get a very high precision
on the output. And we can understand
exactly for instance where your able
vehicle is in comparison to everyone else.
And also, especially in regards
to the environment because the
environment as the road ahead, it's very
important for an autonomous vehicle to
always know this is exactly where I am.
And you can think about this as a
problem because if you have a GPS which
is you know basically what you will
have in your mobile phones. If you look
into your GPS and you started off and
you fine usually that you are quite
well you know, you are with in maybe
10 meters of precision but sometimes
like in commerce you don't even have a
GPS right? So, you need to keep track
exactly where you are because if you
don't know where you are then you
don't know if you can change the lane
for instance to avoid an accident or
to avoid something that is on the road
or another car that is blocking the
road for a while. So it's really important
to have a very good positioning
system. On Road Obstacle Detection,
I've already talked about that, we
haven't for seen everything yet. I
mean we have a long list of different
things that we need to take care of
but how to take care some of these we
haven't solved yet. So, it's in a bit
lucky that you know within this research
project we have still limited amount
of cars that we will start to use
these cars under surveillance. That's
important because we have to log everything
that is happening, we need to re-use,
well actually look on that data,
recimilate it and make changes in the
control algorithm because we will find
things all the time. So anyway, the
Sensor Technology, what we have in this
car, we have a number of forward looking
cameras. We have surround vision
cameras that also have object detection
and of course the forward-looking
camera also have object detection.
We have nine cameras us all together
looking outside of the vehicle. We also
have a forward-looking radar. We have
four corner radars. We have forward
looking laser scanners and a high
definition map. I've already talked a
little bit about the importance of these.
That's also of course the importance
to have cloud connection because these
cars can communicate to each other or
actually to the cloud and then the
cloud can tell the other vehicles that
here is a problem on the road, let's
be cautious or maybe don't even drive
their autonomously. And there's
also driver monitoring because it's
important for both for the project to
understand what the drivers are doing
but also for the control system. You
know, is the car, maybe the car is not
in full autonomous mode but in off
autonomous mode than it's good to know
what the drive is doing because that
gives a hint on the time to take over.
So if you look into the Sensor and
Control Related Components, we have
basically the vehicle control unit here,
Including also Sensor Fusion part.
There's also an autonomous drive ECU
which is actually in these cars it's
IPX two unit which is a very powerful.
You might say AD computer for a car
and it's very useful for performing
research task like this because it's a
tremendously powerful computer. Through
these two that are connected through
actually easy net. There's also a cloud
connection and there's an HD Map which
we have actually moved into the
AD ECU now, so we are actually you
know already trying to bring down the
number of units in these cars to make
it more streamlined. And we have the
Sensors that I talked about before,
it's this [inaudible 22:09] it's not
looking like this anymore but similar.
There's the lighter, it's actually
the same lighter on the Audi S8 that
is coming next year. There's surround
view cameras. There's a driving monitoring.
There's the radar. Surround view
radars. And there’s Ultrasonic sensors.
We're actually more ultrasonic sensors
than on a normal car so we have also
ultrasonic sensors along the side
of the car you know in order to detect
for instance, we cannot move the
[inaudible 22:47] or something like that.
Clip the car. Let's look on this
more movie. Can we have some sound?
Okay, nobody's here? Can you have with
the sound please. Thank you. Yeah so
this was. Actually, I mean if you look
into this film you see a lot of about
sensors and everything and we are just
putting these together right now I mean
it's in approximately half a year,
we will have films that actually shows
exactly what's happening on the road
in these situations. So that's pretty
interesting. Let's hear. What is
really interesting now is that the first
vehicle has come out of our factory
and it looks like this. Number one,
what’s really interesting is that,
as you can see it looks exactly like
the normal vehicle. The integration of
the lidar and sensors here at the front
is basically invincible. We have
invincible installation of radars in
all areas of the car. The only thing
that is not really invincible is these
reference cameras because they are
used to monitor the drivers and we
actually have seven of these reference
cameras to look on what the driver is
doing during the time he's commuting.
This I find quite nice and that is
the installation of the side camera
looking real to understand whether you
have traffic coming from the rear in
your lane. And here you can see the
camera, what is this? This is actually
cleaning system. So, we have managed
to also package also in this area we
have managed to package also a cleaning
system because this is really important
for these types of cars. And here
you can see this box basically and
that’s the computing part of this car.
It's on the surface of the rear of
what you say? On the car, sorry. So, in
this you have logging equipment. You
also have these extremely powerful
[inaudible 28:35] and some other things.
But if you actually go to get the
Borg and find these types of vehicles
you will see something like this. And
what is this? Well it is actually a
driving vehicle but it has under
development you might say but it has this
huge Lidar that is rotating on the top.
And we use this as, this is actually
the reference sensing system that we
have and we compare continuously.
We don't use this for navigation but
we use it for understanding errors
within the other sensors. So, it's really
pretty important component when we
develop these cars. The Human Machine
Interface is very important also because
as i said, the human machine interface
brings you I mean as a driver you
need to understand whether you're in
control or the vehicle is in control.
And it was even like this that our first
decision was that the driver would
not be able to take over unless the car
said it was okay to take over. Now
we see that there are some German
regulations may be coming that actually
demands that the driver needs to be
able to take over in anytime. So, we
don't know when really when we end up
here but that's a very important part
on these vehicles in order to start
auto pilot you need to press these two
buttons or actually do like this for
quite some time I think it's two
seconds and then you actually start
up the autonomous part. So, this is
really the last slide, you know the
journey isn't over, that's really what we
say. I think that we in the whole
industry is eagerly waiting to understand
what this technology brings to us and
also not only the industry but also
all our customers within the industry.
And we can for instance see today
that we need to have longer range sensors
in order to go with a higher speed
than 70 km/h or 90 km/h to actually
monitor the road ahead and understand
whether you have an object on the road
or not. Because if I mean, there's
a tremendous amount of work that is in
front of us as an industry I believe.
So, I really look forward to the next
coming years both in development
understanding what's happening here.
Looking on all the other initiatives
that we see on the market, different
car manufacturers pursuing different
things. And you know, in 2025 we may have
this car that is actually doing what
we do here. I mean people talk about 2021.
I think that we can have that,
we can have a certain amount of autonomy
on certain areas in the world but
not everywhere. 2025 I believe we can
come much closer to where we need to
be so to say to be able to bring this
technology to most of our customers
on many roads. So, it's an exciting
future thank you very much. Thank you.
