2019 TU-Automotive Detroit
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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