Photo: Intel Newsroom
Intel, Toyota, Ericsson, Denso, NTT and NTT Docomo recently joined together to form the new Automotive Edge Computing Consortium. The group has its sights set on building an ecosystem revolving around the massive amounts of data that will be generated by connected cars.
The stated aim of the group is to “develop an ecosystem for connected cars to support emerging services such as intelligent driving, the creation of maps with real-time data and driving assistance based on cloud computing.” And with the expected explosion in volume of connected- and autonomous-car data promising to push existing cloud-based networks beyond their capacity, it’s a good time for these big players to dedicate themselves to developing better solutions.
Data, Data and More Data
According to BI Intelligence projections, 94 million connected cars are expected to be shipped in 2021, and 82 percent of all the cars shipped that year will be connected. These stats translate to a compound annual growth rate of 35 percent, from 21 million connected cars in 2016. Boasting a host of data processing systems and sensors, all these connected cars are anticipated to dramatically increase data demands.
Exactly how much of an increase in data volume is expected? Recent estimates predict that the data volume between vehicles and the cloud will reach 10 exabytes per month around 2025—which is approximately 10,000 times greater than the present volume. This massive increase in data will in turn demand new architectures of network and computing infrastructure to support its management. And these new architectures must still be compliant with applicable standards, something that requires collaboration on a local and global scale.
Finding a Better Solution Together
The consortium is focused on leveraging edge computing and the implementation of more efficient network design. The goal is to achieve the network capacity needed to accommodate the large amount of automotive big data that will be flowing between connected vehicles and the cloud. These edge computing solutions help lighten the load on the cloud servers by moving computing power to the source, processing the data where it is created. These and others planned changes translate into reduced network congestion and the sidestepping of common latency problems.
All of this also requires defining requirements and developing use cases for any emerging mobile devices—with a specific focus on the automotive industry—and bringing them to standards bodies, industry consortiums and solution providers. Additionally, the group will encourage the development of best practices for the distributed and layered computing approach recommended by the members.
Photo: Intel’s Advanced Vehicle Lab in Chandler, AZ (Credit: Tim Herman/Intel Corporation)
While the consortium is ready to dig in on finding the best solutions for the effective management of connected automotive data, it is also looking to expand. “In the coming months, the aforementioned companies will initiate activities to invite relevant global technology leaders and expand the consortium,” Toyota said in its statement.
Ladies and Gentlemen, Start Your Engines
- Ready to learn more about the technology and data requirements for autonomous driving?
- Stay up-to-date with the latest news, the Trust Interaction Study and other autonomous driving resources from Intel.
- Get in on the ground floor with partnerships among automakers, technology providers and suppliers focused on autonomous driving. BMW Group, Fiat Chrysler Automobiles, Intel and Mobileye have announced that they were joining forces to make self-driving vehicles a reality by collaborating to bring solutions for highly automated driving (Level 3) and fully automated driving (Level 4/5) into production by 2021. See their progress in developing a new autonomous driving platform.