Nvidia headquarters in Santa Clara, California. Credit: Coolcaesar

A group of automotive and technology industry companies have created a new consortium, named Autonomous Vehicle Computing Consortium (AVCC), to develop a standardised computing platform for self-driving vehicles.

The group consists of Arm, Bosch, Continental, DENSO, General Motors, NVIDIA, NXP Semiconductors and Toyota.

Consortium members said that they will focus on developing new solutions to accelerate the delivery of affordable autonomous vehicles.

The consortium plans to develop a set of recommendations of system architecture and a computing platform to promote the scalable deployment of automated and autonomous vehicles.

These recommendations will reconcile the vehicle-specific requirements and limitations in terms of size, temperature range, power consumption and safety.

In a press release, AVCC announced that it will share ideas and study common technological challenges.

This is expected to facilitate a cross-industry collaboration that can benefit the automotive industry.

AVCC has also invited interested parties around the world to be a part of the challenge to develop the industry’s future.

AVCC board chairman and General Motors Research & Development lab group manager Massimo Osella said: “The massive amount of technological innovation required to power fully self-driving vehicles at scale requires collaboration at an industry level.

“We are delighted to join this group of key leaders in the automotive industry. As the AVCC, we are working together to create the ‘go-to’ organisation for autonomous computing expertise to help bring this technology to market.”

Arm Automotive and IoT Line of Business senior vice-president and general manager Dipti Vachani: “The future of mobility and the safe, scalable deployment of advanced driver assistance systems to fully autonomous vehicles for mass production requires unprecedented industry collaboration.

“The AVCC brings together leaders from across the automotive industry landscape to tackle complex foundational technological and computing challenges to accelerate our path to a truly autonomous future.”