Autonomous Vehicles: GM, Ford & Constellation Network Develop Data Sharing Standard

Autonomous Vehicle

Mobility Open Blockchain Initiative (MOBI) members General Motors (GM), Ford, and Constellation Network have all agreed to develop a new way for autonomous vehicles to share information in the coming years.

As a part of the effort, the working group that includes GM, Ford, and Constellation Network, has created a wide-reaching document that will help the Connected Mobility Data Marketplace to grow into a data-sharing network.

There is going to be a big push into autonomous vehicles in the coming decade, and getting the data sharing protocols right at the beginning of the development cycle is key. Unlike many other forms of data, autonomous vehicles handle people, and thus, they a are a critical component of public safety.

MOBI Sees the Need for Synergies

Electric vehicles, like Tesla, are grabbing headlines – but autonomous vehicles could be an even bigger influence on how both personal, and commercial transportation happen over the next ten years.

At this point, most major automobile companies, such as Tesla, General Motors, Ford, Daimler, and BMW are working with autonomous vehicles. In a matter of a few years, autonomous vehicles may be rolled out into specialist applications, like materials handling, or transportation in company-owned facilities.

Of course, there needs to be a way for all of the data that is produced by autonomous vehicles to be used and shared among multiple platforms. MOBI thinks that this is one of the most important aspects and that both users and companies should benefit from data.

Efficiency and Safety

The amount of data that will be produced by autonomous vehicles is substantial. At the most basic level, data sharing will mean a much safer environment, as autonomous vehicles should be able to share data, and troubleshoot safety issues before people or materials are put at risk.

Benjamin Diggles, the CRO of Constellation Network, commented,

“Constellation fixes the mobility data problem at its root. Our network is designed to offer a neutral standard for hardware-to-hardware communication, while giving users control over their own data…In the context of self-driving cars, DLT that is infinitely scalable is simply the only answer to the delicate balance of guaranteeing user privacy while collecting potentially life-saving data.”

The MOBI alliance, along with the Connected Mobility Data Marketplace (CMDM) working group, which is co-chaired by DENSO and GM, is collaborating with Ford, Toyota Insurance Management Solutions, Accenture, and Continental to make this kind of data sharing a reality.

Advancing Towards a New Way

Constellation Network has been working with automobile manufactures for a few years to develop hardware-to-hardware communication tools, and it looks like those years of effort are beginning to bear fruit.

With the recent move by GM and Ford to use a common data sharing language, the advancement of DLT technology in the autonomous vehicle sector has taken another step forward.

It may also act as a proof-of-concept to other companies, who can use this platform as a prototype for an industry-wide DLT data-sharing standard.

The Need for Industry Cooperation

There is no doubt that autonomous vehicles need to be addressed seriously, and that is what MOBI has done over the past few years. Companies need to strike a balance between keeping data secure but also allowing it to be used to increase efficiency and safety.

If you want to learn more about MOBI, and the work that it is doing to advance the use of DLT in the autonomous vehicle space, just click right here.

For more information on Constellation Network, and how it is working with some of the largest names in autonomous vehicles, please click here to visit its website.

In a world where data is likely the most valuable commodity, these platforms are vital to a safe and prosperous future.

The post Autonomous Vehicles: GM, Ford & Constellation Network Develop Data Sharing Standard appeared first on Blockonomi.

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