Autonomous Vehicle Engineering - November 2021 - 14

ADAS
"
OEMs are, in effect, 'test driving' [SAE] Level 3 functions while under
the protection of Level 2.
"
has demonstrated the ability to improve sensor performance
while steadily reducing cost, Petznick said. " Today,
we have six or more radars on a new vehicle; each costs
20 to 30 euros, let's say. Five years ago, we could not have
imagined that rate of cost reduction. If volume comes, the
cost of lidar will go down rapidly; I'm confident of that. "
Toward the 3-D model
Conti is in the vanguard of developing and deploying
in-vehicle servers - a technology shift that Petznick
said is vital to delivering more capable ADAS. " More
compute power will be needed going forward, to handle
the ever-growing volume of data the vehicle generates and
receives, " he said. Neural networks and artificial intelligence
(AI) are a " game-changer " that demand automotive-grade
high-performance computers and a new generation
of flexible server architectures. Recently Continental
formed a joint venture with Chinese AI specialist Horizon
Robotics to develop hardware and software.
" We have to carefully bring the high-performance
computers into the automotive environment,
through up-front collaboration with those companies.
It would be a mistake to think we can simply
make those computers 'fit' the automotive use case, "
he asserted. Greater processing power is a key enabler
for more sophisticated ADAS systems with multiple
cameras, radars, lidars and other sensors. " You can
pre-fuse them, " he said, " but you still have a lot of data
to process. It's all about creating a full, 3-D environmental
model that enables the vehicle and its driver to
'know' what is surrounding them " and to predict what
other vehicles, pedestrians, cyclists, animals, etc., that
share the environment are going to do in real time.
Across a spectrum of the latest new vehicles, ADAS
system performance often differs not only between OEMs
but also among different vehicles of the same OEM. But
that doesn't mean the industry will standardize its functionality
in this space, Petznick said. " In some areas, yes,
there will be increasing familiarity to drivers across vehicle
lines, " he predicted. " But I think in many cases the OEMs
do not want to have a standardized solution. ADAS performance
and functionality is a USP [unique selling proposition]
that can differentiate vehicles in the marketplace. "
Looking at ADAS technology development in
the next five years, Petznick said he is most excited
about the potential for sensor fusion: " Creating the
virtual model, the full 3-D world around the vehicle
in which the driver knows exactly what's going on
in 360 degrees, in all driving scenarios and weather
conditions. " He also is bullish on leveraging ADAS, the
cloud, and Conti's advanced safety systems expertise.
" Using those data to pre-arm your entire passive and
active safety system is a natural connection with ADAS
and, in my view, is a logical step. " ■
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Autonomous Vehicle Engineering - November 2021

Table of Contents for the Digital Edition of Autonomous Vehicle Engineering - November 2021

Autonomous Vehicle Engineering - November 2021 - CVR4
Autonomous Vehicle Engineering - November 2021 - CVR1
Autonomous Vehicle Engineering - November 2021 - CVR2
Autonomous Vehicle Engineering - November 2021 - 1
Autonomous Vehicle Engineering - November 2021 - 2
Autonomous Vehicle Engineering - November 2021 - 3
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