New Consortium Aims to Develop a Standardized Computing Platform for Autonomous Vehicles
【Summary】A new Autonomous Vehicle Computing Consortium (AVCC), officially launched today at Arm TechCon conference in San Jose, Calif., bringing together leaders from the automotive industry, Tier 1 suppliers, semiconductor and computing industries to standardize autonomous vehicle computing systems.
A new Autonomous Vehicle Computing Consortium (AVCC), officially launched today at Arm TechCon conference in San Jose, Calif., bringing together leaders from the automotive industry, Tier 1 suppliers, semiconductor and computing industries to standardize autonomous vehicle computing systems.
As cars evolve to become computers on wheels and come packed with technology, there is a growing need to develop a standard computing platform for suppliers and developers, especially for autonomous vehicles. The AVCC of leading automotive and tech companies aims to be a collaborative effort toward reaching that goal.
The primary goal of AVCC is to develop a set of recommendations of a standard system architecture and computing platform that meets the specific performance requirements of autonomous systems.
The initial AVCC members include chipmaker Arm, automotive suppliers Bosch, Continental, DENSO, NVIDIA, NXP Semiconductors, as well as automakers General Motors and Toyota. The companies will collaborate to help solve some of the most significant challenges to deploy self-driving vehicles at scale.
"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," said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business, Arm. "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."
In addition, suppliers to the auto industry must meet the vehicle-specific requirements and limitations in terms of size, temperature range, power consumption and safety fo all components built for autonomous vehicles. These recommendations will be specially developed to move autonomous vehicles from today's prototype systems to widespread deployment.
AVCC says its member companies already understand the technological complexities and obstacles to overcome for the deployment of autonomous vehicles. They aim to work together to enable solutions that address these unique challenges and create an ecosystem of industry experts to focus on innovations to meet these goals.
AVCC member Nvidia is already developing the hardware that will power future autonomous vehicles. The company's Nvidia Drive computing platform is aimed at providing autonomous car and driver assistance functionality powered by deep learning. Nvidia's AI-powered Drive hardware and software is currently being used by many developers of self-driving cars. However, intergrating all of this tech in a vehicle is a challenge without a standard platform.
"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 leader in AI computing, we are working closely with transportation innovators, tackling the complexities of developing and deploying safe autonomous vehicles at scale."
AVCC members will share ideas and study common technological challenges and facilitate cross-industry collaboration to help the automotive industry work together by defining standards for developing autonomous driving technology.
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