Mobileye Aiming To Train Self-Driving Tech With Auto Company Data

Sign up for daily news updates from CleanTechnica on email. Or follow us on Google News!

MobilEye Wants Driver Info to Build Better MapsFollowing the parting of ways between the EyeQ3 chip maker MobilEye and Tesla Motors, the Israeli firm has apparently decided to follow a similar course with its self-driving technology development as the Tesla has taken.

In other words, the company is intending to use large quantities of data to create “highly accurate simulations of the real world” that can be used to “train” the core self-driving technologies.

The company is now apparently working to obtain large quantities of data from the autonomous driving research efforts of the major auto manufacturers — in order to speed up the development process.

“If you want to leverage many, many cars, you need to leverage as many carmakers as possible,” commented Amnon Shashua, co-founder and CTO of Mobileye.

Teslarati provides more: “According to the MIT Technology Review, he says his company has figured out a way to let carmakers share their information without losing control over their data. Shashua says Mobileye will announce several deals before the end of the year, starting with Volkswagen. The Israeli company relies heavily on deep learning networks which are trained to recognize visual information accurately. Until now, human editing of the learning process has been required but Mobileye says it is pioneering the use of ‘reinforcement learning.’ That’s a process that rewards the computers involved for positive results, such as learning to recognize unfamiliar road signs without external assistance. Using reinforcement learning, a computer can learn to do things that would be exceedingly difficult to program.”

Interesting, but convincing firms such as GM or Ford to share their data is probably far easier said than done.

“It makes a ton of sense for car companies to share data, particularly for a problem like this where a vast amount of diverse data is required,” commented Karl Iagnaema, CEO of a startup called nuTonomy which is testing automated taxis in Singapore. “Typically, however, leaders are unwilling to pool resources, for fear of diluting their advantage. It makes sharing of resources difficult.”

Certainly true. Shashua claims that several deals are forthcoming, though, so perhaps something will come of this.

Have a tip for CleanTechnica? Want to advertise? Want to suggest a guest for our CleanTech Talk podcast? Contact us here.

Latest CleanTechnica.TV Videos

CleanTechnica uses affiliate links. See our policy here.

James Ayre

James Ayre's background is predominantly in geopolitics and history, but he has an obsessive interest in pretty much everything. After an early life spent in the Imperial Free City of Dortmund, James followed the river Ruhr to Cofbuokheim, where he attended the University of Astnide. And where he also briefly considered entering the coal mining business. He currently writes for a living, on a broad variety of subjects, ranging from science, to politics, to military history, to renewable energy.

James Ayre has 4830 posts and counting. See all posts by James Ayre