THOMAS NGUYEN THAT: Hello everyone.
I am Thomas Nguyen That an automotive domain
director at the AVSimulation and I will present you
the amazing work we have been doing with Epic Games
to develop the new SCANeR generation tool.
So we develop SCANeR which is an open modular
and scalable driving simulation software.
SCANeR is a tool to simulate a virtual environment
to test automotive systems.
It means that we build virtual roads, virtual traffic
conditions and scenarios for automotive engineers that
works on ADAS systems, headlamps, chassis, body design, and HMI.
We also build driving simulators, which
are a very big machines with a screen and motion system.
At the moment, we are developing the two largest driving
simulators in the world.
One for BMW and the other for Renault. Our aim
is to accelerate and secure the development
of autonomous vehicle.
There are two big challenges for this incredibly complex system.
The first one is that you need to make
sure before putting the vehicle on the streets
that they will be safer than human drivers.
It means that you have to prove that they can perform
in any day-to-day situation.
Every time of the year, any weather or traffic conditions
and for every road in the world.
It's such an incredible challenge
that it has been computed that if you
had to prove that in reality it would require billions
of miles of real driving that would take hundreds of years.
Simulation is then the only solution.
The second challenge is the interaction between the driver
and the system.
You can build a very sophisticated autonomous system,
if it is not understood or trusted
by the humans in the car it will be useless.
Simulation is again, very useful to study the driver behavior
in complex driving tasks because you
can study how the driver behaves and reacts
to dangerous situations in a very safe environment.
It means that we have to simulate
not only for the driver but for the complete perception system.
And it's a much more complex task because the human brain
can make adaptations to understand the difference
between the simulation and the reality but the sensor system
won't.
Any slight difference between the simulation and the reality
will change the results.
To address these two big challenges,
we had to invent and develop the next generation simulation tool.
To immerse not only the driver but also
the complete perception system- camera, lidar.
And for that reason, we have chosen Unreal from Epic Games.
Why? Because it's the more realistic and performant 3D
engine on the market.
It's physics based and we need to bring trust
in the simulation result. It's very
complete with a full editor and very easily
accessible to the final users.
It also brings a very rich marketplace
with a lot of high quality 3D assets.
We also found out that Unreal was very popular
among our customers.
We have developed a complete seamless workflow
that very easily brings a high realism
to our customer with their existing assets and scenario.
We have developed this very rich and very detailed
environment model where you can dynamically
change the time of day, the weather condition,
where you can have multiple vehicle, pedestrian, animals,
in the scene.
You can program very complex scenarios from everyday life.
We also have developed standard NCAP scenario tests
with our partner Utextron that behave exactly
like the one on the test truck.
We also have developed an automotive camera
and some models that generates photorealistic images
and exhibit exactly the same default than the real camera.
That really allows us to verify how your perception system will
behave in any complex situation.
We also provide a more advanced workflow
for advanced users that have development skill to completely
customize and enrich their rendering.
We also have a very complete roadmap
to improve the environment creation,
to integrate all the sensor models
and to move our headlight simulation to Unreal.
With this new solution our customer
can recreate super realistic simulation environments
that they can use to perform their validation tests
and prove that their systems are safe.
This is really a strong accelerator for them
and it will bring autonomous system industry
sooner than expected.
Well, thank you very much for listening
and I wish you a nice event.