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Huang, CEO of Nvidia,
noted that his firm has to
work closely and openly
with auto manufacturers,
Tier 1 providers and even
competitors to deliver
solutions that will move
goods and people quickly
and safely.
With a data center solution,
vehicle manufacturers and
tier 1 producers can train
and verify systems in the
cloud before they are put into
vehicles.
Coopetive efforts like this
enable the industry to use
simulation tools to collectively
amass critical volumes of
data to ensure that vehicle
systems work properly as
a single vehicle and with
its moving environment.
Simulation tools can give
combinations of conditions
vehicles will encounter
around the globe," he noted.
"Many are impossible to
predict, which is why the
industry is moving cautiously
to a Level 5 vehicle that
doesn't need a human driver
or even a steering wheel.
Yeah, But – Despite the
fact that people prove
every day that they
are easily distracted or
impaired while driving,
they feel they are more in
control of situations than
self-driving cars.
More importantly, the
industry is working hard
to manage consumer
expectations.
Messer expects the transition
to autonomous vehicles will
a clear understanding of
the environment preceding
an incident as well as an
understanding as to why the
decision was made so it can
be modified to ensure the
safety of future decisions/
actions.
"At the end of the day, self-
driving cars have the ability
to learn quickly from these
mistakes and teach all future
cars," Behl said. "The same
cannot be said for human
drivers."
Alan Messer, CEO of
InnovationShift, noted that
developing an autonomous
vehicle is perhaps more
challenging than landing a
man on the moon.
"There's almost an infinite
number of conditions and
begin around 2020 but we
already have about 1.2B L1
vehicles (cruise control) on
the road around the globe.
L2 adds sensors, to slow
down the vehicle if the car
in front does and stay within
the lane markings. L3 drives
the vehicle but a person has
to take over if necessary.
Wide distribution and
adoption of autonomous
vehicles will take longer than
many predict because every
setback – okay, accident –
will raise people's concern,
just as it does after an
airplane mishap.
However, the level of
autonomy and need for
driver attention will vary
significantly.
