The age of smart connected cars and autonomous vehicles brings with it a new challenge to the automotive industry: Big Data. Japanese auto manufacturer Toyota estimates that the data volume between vehicles and the cloud will reach 10 exabytes (10.7 billion Gigabytes) per month till the year 2025, which is approximately 10,000 times larger than the present volume. This sort of big data challenge calls for Edge Computing.
This challenge brought Toyota to team up with Japanese auto parts maker Denso Corp, Japanese telecoms NTT, Intel and Ericsson to form the Automotive Edge Computing Consortium which was announced a few days ago. This consortium will
develop an ecosystem for connected cars to support emerging services such as intelligent driving and transport, creating of maps with real-time data as well as driving assistance based on cloud computing.
The consortium will use Edge Computing and network design to accommodate automotive big data in a reasonable fashion between vehicles and the cloud.
Last March Toyota showed off its first autonomous test vehicle developed entirely by Toyota Research Institute, following Google, Tesla, Uber and others in the race to disrupt transportation. Even consortium member Intel announced last week starting to build a fleet of fully autonomous (level 4 SAE) test cars, based on its acquisition of Mobileye earlier this year.
Toyota states its exploration of autonomous vehicles dates back as far as 2005. Now with edge computing architecture it can also face the associated big data challenge.
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