Autonomous Vehicle Engineering - November 2021 - 21

Emerging Technologies
you're working with combined data from
multiple devices, and you may not want to
send data from one vehicle into another
vehicle, just for security reasons. "
For automakers, reduced
computing loads can equal reduced
cost, as embedded computing capability
can be minimized. Reducing
processing bandwidth also frees up the
potential for delivering more content to
the vehicle, such as monetized entertainment
features. " In addition to the
vehicles, there's the human occupants
that are going to be consuming more
media - watching videos or what have
you, " Johnson explained. " Autonomous
vehicles are going to lead to increases
in media consumption and the content
delivery is auxiliary but related. "
The infrastructure also can improve
data robustness for less time-dependent
data. " It's definitely more than just realtime, "
Johnson said. " For OTA [overthe-air]
updates for manufacturers,
we're improving the performance of it
by having it right there at the edge. It's a
much more reliable connection to the last
mile, as opposed to across the internet.
Various middle-mile issues can crop up
that can cause packet loss, data not getting
transmitted. Having that presence of the
edge [creates] the most reliable route. "
" And if you're having the same
update delivered to multiple vehicles,
we can store that data locally at the edge
to just offload that bandwidth as well, "
he noted. " So, you're not downloading
the same update from the server every
time. The edge has it cached and stored
locally, so it can be more efficient. "
Applying the edge
Stellantis will be one of the first OEMs
to publicly leverage edge computing
in vehicles, announcing in September
2021 two trials that will employ the technology.
The programs are focused on
safety, involving in-vehicle alerts via the
Uconnect infotainment system related
to pedestrian/intersection data and
notifications tied to emergency-vehicle
AUTONOMOUS VEHICLE ENGINEERING
proximity. Both trials employ V2X
connectivity and the Stellantis edge
platform it labels MEC (Multi-access
Edge Computing).
The first program will demonstrate
the MEC platform's cellular 5G connection
abilities, permitting localized systems
to make decisions at the point of data
collection. The setup will use on-site
cameras and sensors at intersections to
provide data outside the reach of a single
vehicle's on-board sensor suite. The
MEC system can then locally process
and communicate safety risks to both
onsite pedestrians and approaching
vehicles. The goal is to evaluate faster
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Autonomous Vehicle Engineering - November 2021

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