Autonomous Vehicle Engineering - November 2021 - 20

Emerging Technologies
"
If you think about the difference in latency of going to the corner store
versus going across town to the big Costco, you have a shorter trip.
"
With AVs capable of generating 25 gigabytes
of data per hour, per vehicle, edge
computing can help reduce overall network
loads by processing more data locally without
network-bandwidth constraints.
by localizing computing ability, be it via nearby infrastructure,
or more closely located data servers. On
top of the distance aspect is volume: Edge setups
can help reduce overall network loads by processing
more data locally. " Beyond latency, it's just a matter
of handling that amount of data going across to a
central location, " Johnson said. " I've seen estimates
of 25 gigabytes an hour or more for data generated
from autonomous vehicles. Imagine if you have that
per vehicle, that's going to add up to when you figure
how many vehicles are on the road at once and what
that would take to be able to send that data to somewhere
that's a central location. "
" Just being able to process that data at the edge,
without leaving the ISP [internet service provider] in
many cases, is really important, " he continued. " You're
not constrained by bandwidth with the backbone of the
internet, or constrained by the bandwidth of a single
data center of a few regions. "
Autonomy's vehicle network
Where edge computing dovetails so effectively with
AVs is by helping maintain local computing ability
for the data the vehicles will generate and share vehicle-to-vehicle
(V2V), and for distributing information
gathered from the nearby vehicle-to-everything (V2X)
infrastructure. " That ties into autonomous vehicles
and V2V or V2X communication, where you want
to be communicating with the vehicles in an area. It's
important to keep that data and that communication
local in that region " Johnson said.
The goal for edge-server suppliers such as Akamai
is optimization, to ensure all devices within a physical
zone are able to communicate effectively, and to relieve
the device from unnecessary computing loads. " The right
data, at the right place at the right time, " Johnson labeled
it. " Parallel to that, you're offloading from the device so
you can do potentially more-powerful processing than
what you want to do on the device directly. Or maybe
20 November 2021
AUTONOMOUS VEHICLE ENGINEERING
Continental

Autonomous Vehicle Engineering - November 2021

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