Arm, Toyota and GM team up to standardize self-driving tech

Joanna Estrada
October 10, 2019

In addition to ARM, initial members of the new consortium include Toyota, General Motors, Bosch, Denso, Continental AG, NXP Semiconductors, and Nvidia.

"These recommendations will be specially developed to move autonomous vehicles from today's prototype systems to deployment at scale".

AVCC is calling on members of the automotive ecosystem from around the world, as well as other interested parties, to join the consortium and accept the challenge of building self-driving technology, one objective at a time.

Called Autonomous Vehicle Computing Consortium (AVCC), the group plans to pool its autonomous vehicle knowledge "to promote scalable deployment of automated and autonomous vehicles".

The group's goal is to work collectively as a way to "resolve among the most vital challenges to deploy self-driving automobiles at scale", which fairly clearly interprets into placing collectively the collective efforts of a few of those that stand to achieve most from autonomy changing into a commercially viable expertise, as a way to pace up mentioned commercialization.

AVCC member Nvidia is already developing the hardware that will power future autonomous vehicles.

The common computing platform suggested by the AVCC will make it easier for companies to develop software that will work on chips from various vendors, not just ARM.

In a statement released in California's Silicon Valley, AVCC said the collaboration aims to solve some of the most significant challenges holding up mass deployment of autonomous vehicles. Nvidia's AI-powered Drive hardware and software is now being used by many developers of self-driving cars.

There's extra to this business collaboration than simply determining the specs vary for techniques, nevertheless: Collaborating firms will "examine widespread technical challenges", as properly, that means they'll be placing their heads collectively to beat the main, basic tech challenges that also act as hurdles to be overcome in getting self-driving automobiles on the roads.

"The hardware and software requirements for autonomous vehicles are enormous, requiring an energy-efficient, high-performance AI platform to process sensor data and achieve the highest levels of safety", said Gary Hicok, senior vice president of Automotive Hardware and Software Systems at NVIDIA.

"As the AVCC, we are working together to create the "go to" organisation for autonomous computing expertise to help bring this technology to market", he said. "As the leader in AI computing, we are working closely with transportation innovators, tackling the complexities of developing and deploying safe autonomous vehicles at scale".

Other reports by Click Lancashire

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