Monday, June 17, 2019

2019 TU-Automotive Detroit

(Excerpt)

The 2019 edition of TU-Automotive Detroit reflected a mishmash
of technologies that encompassed both the hardware and the software
sides of everything related to automobile connectivity in any
way—telematics, IVI, vehicle autonomy, AI, AR, security, OTA
updates, data monetization, usage based insurance, and so
forth.

On the first day of the event, safety took center stage as the
automotive industry continues to find itself vulnerable to
cybersecurity breaches amid rapidly evolving autonomy. Even when
safety and security measures are implemented, automakers are
usually too slow to respond. Ride-hailing concepts and services
were also a popular discussion among the speakers and panelists,
including IHS Markit's Mark Boyadjis, global technology lead for
automotive advisory services.

As drivers and passengers seek the same capabilities from their
vehicle that they get from their numerous smart devices, both cloud
and edge computing have come to the automakers' rescue. Cloud-based
in-vehicle entertainment will be a seamless continuation of
consumers' digital lives and a key element of individualization in
shared-mobility models of the future. The cloud-connected design
and architecture also mean automakers will have numerous
opportunities to capitalize on emerging technologies and business
models, that generate recurring revenue streams as the connected
car industry becomes more adept at monetizing in-car offerings.

GENIVI's shifting of focus away from GDP compliant Linux
infotainment OS comes as OEMs increasingly adopt Android Automotive
(embedded) solution for their IVI stack. This adoption has
introduced a series of challenges around integrating Android
Automotive into existing legacy software and other systems present
in the vehicle (security, vehicle data, etc.). As the industry
moves toward combining multiple vehicle cockpit domains (IVI,
cluster, connected devices) into a single silicon solution, often
with multiple operating systems, automakers keep exploring the
concept of a central compute platform.

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