Every new technology experiences growing pains; there is typically a period of innovation and then a period of standardization.
Arm-Leading companies from the automotive and computing industries announced today a collaborative effort toward making fully self-driving vehicles a reality.
The group's objective 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.
"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, GM of Automotive and IoT Business at Arm. The 1st step will probably be establishing a set of advisable specs, basically, outlining what dimension, temperature, energy consumption and security requirements AV system architectures and computer systems ought to adhere to.
The goal of these recommendations will be to help move self-driving vehicles from prototype systems to deployment at scale. Members of the AVCC are therefore dedicated to overcoming these particular challenges.
The consortium says it plans to publicly share its results, saying: "Working groups will share ideas and study common technological challenges, facilitating cross-industry collaboration to help the automotive industry work together by defining, educating and publishing for the benefit of all".
A separate consortium to develop safety strategies around autonomous driving already exists. The company's Nvidia Drive computing platform is aimed at providing autonomous vehicle and driver assistance functionality powered by deep learning. 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.