In our first post in this series, we introduced the Car Connections conference, where experts from Silicon Valley met with their counterparts in Detroit for a melting pot of thoughts on the future of automobiles.
More data has been generated in the past three years than in the entire previous history of mankind.
We aren't going to go back. Data emanating from cars are expected to increase more than a hundredfold in the next ten years, generating petabytes of data through vehicles’ sensors. Indeed, the first autonomous drive across the U.S. recently by Delphi generated more than three terabytes of driving data.
Leveraging this auto data is essential for intelligent driving. Data experts from outside the auto industry spoke of the need for a data ownership model among OEMs, Tier 1s and car owners.
Because sharing data needs to be a part of the mix. Data sharing offers a more comprehensive view and the auto industry’s long history of sharing suppliers for non-proprietary parts could facilitate a broad data sharing program. Different data ownership models should apply for different use cases. Each use case and data model needs to be considered carefully for its specific requirements.
One observer noted that we need to rethink how we see cars – not as driving machines, but as mobile data platforms. Cars will generate much data, more than can economically be transferred to the cloud. But this isn’t necessarily a setback. Cars could offer a large computing platform so that much of the data might actually be processed within the vehicle itself.
Yet, for many applications, including navigation, cars should be considered as node in a web of other vehicles rather than in isolation. Embedded map systems may be the brains of the car made smarter and safer with over-the-air (OTA) cloud updates with each car as a probe providing live updates and better context to other vehicles on the road.
In part three, we’ll conclude our series of articles from Car Connections, with a look at how the whole industry is being disrupted from other angles.
Car Connections: Intelligent Driving – a 2020 View Conference
|Part 1. Bridging the gap between Detroit and Silicon Valley|
|Part 2. Data sharing in the age of connected cars|
|Part 3. How ridesharing disrupts the transportation ecosystem|