by Angela Guess

According to a new press release, “NVIDIA today unveiled details of its functional safety architecture for NVIDIA DRIVE™, its AI autonomous vehicle platform, which uses redundant and diverse functions to enable vehicles to operate safely, even in the event of faults related to the operator, environment or systems. The NVIDIA DRIVE architecture enables automakers to build and deploy self-driving cars and trucks that are functionally safe and can be certified to international safety standards, such as ISO 26262. ‘Safety is the most important feature of a self-driving car,’ said Jensen Huang, founder and chief executive officer of NVIDIA. ‘It is imperative that it operate safely, even when things go wrong. NVIDIA’s investment into this functional safety platform is one of the most important ones we’ve ever made, and it provides a critical ingredient for automakers to bring self-driving cars to market’.”

The release goes on, “NVIDIA DRIVE provides a holistic safety platform that includes process, technologies and simulation systems, as described below: (1) Process: Sets out the steps for establishing a pervasive safety methodology for the design, management and documentation of the self-driving system. (2) Processor Design and Hardware Functionality: Incorporates a diversity of processors to achieve fail operation capabilities. These include NVIDIA-designed IP related to NVIDIA Xavier™ covering CPU and GPU processors, deep learning accelerator, image processing ISP, computer vision PVA, and video processors – all at the highest quality and safety standards. Included are lockstep processing and error-correcting code on memory and buses, with built-in testing capabilities. The ASIL-C NVIDIA DRIVE Xavier processor and ASIL-D rated safety microcontroller with appropriate safety logic can achieve the highest system ASIL-D rating.”

Read more at Globe Newswire.

Photo credit: NVIDIA