NVIDIA mobile processor paves the way for self-driving cars

Mobile processor paves the way for self-driving cars
The Tegra VCM allows in-vehicle systems to be easily upgraded as newer hardware becomes available.

NVIDIA's new Tegra K1 mobile processor will help self-driving cars advance from the realm of research into the mass market with its automotive-grade version of the same GPU that powers the world's 10 most energy-efficient supercomputers.

The first to bring advanced computational capabilities to the car, the NVIDIA Tegra K1 runs a variety of auto applications that had previously not been possible with such low power consumption.

Tegra K1 features a quad-core CPU and a 192-core GPU using the NVIDIA Kepler architecture, the basis for NVIDIA's range of powerful GPUs—including the processors that are used in the top 10 systems featured in the latest Green500 list of the world's most energy-efficient supercomputers.

Tegra K1 will drive camera-based, advanced (ADAS)—such as pedestrian detection, blind-spot monitoring, lane-departure warning and street sign recognition—and can also monitor driver alertness via a dashboard-mounted camera.

"To process the steady deluge of sensor and camera data required by a self-driving car, NVIDIA is bringing highly energy-efficient supercomputer technology inside the vehicle," said Taner Ozcelik, vice president and general manager of the Automotive business at NVIDIA. "Tegra K1 solves this by providing 10 times the computing power of previous mobile processors without consuming additional energy."

The Tegra K1 is also the first mobile processor to support CUDA—the parallel computing platform at the heart of modern computer vision. In its automotive-grade form, this super chip is hardened to withstand a wider range of temperatures and withstand harsher operating conditions.

Customizable Digital Dashboards

In addition to computer vision, the Tegra K1 processor excels at creating razor-sharp, photo-real 3D graphics. Using NVIDIA's Material Definition Language—which simulates how light reflects and refracts off of actual materials—digital instrument clusters and infotainment systems can be customized with a wide range of virtual materials, from copper, titanium and brushed aluminum, to stitched leather and carbon fiber.

Libraries of photo-realistic rendered material provide a nearly limitless range of customizable digital cockpit configurations. These allow drivers to configure their gauges, controls and dials to suit their unique tastes.

"Audi and NVIDIA have a long, deep partnership, in which we've utilized three generations of Tegra to bring industry-leading capabilities to the instrument cluster, infotainment and rear seat entertainment systems," said Ricky Hudi, chief executive engineer of electrics/electronics at Audi AG. "Tegra K1 opens a new chapter for Audi to deliver revolutionary supercomputing advances to the car, paving the way to piloted driving experiences."

Programmability Extends Life of Vehicle

ADAS solutions currently in the market are based mainly on proprietary processors. NVIDIA Tegra K1 moves beyond this limitation by providing an open, scalable platform that enables innovative solutions.

In addition, NVIDIA designed the Tegra K1 processor to be fully programmable, so it can be enhanced via over-the-air software updates that support new functionalities as they become available from automakers.

"Advanced computational technologies are the foundation for turning automobiles into the most innovative, capable and desirable mobile devices in the future," said Thilo Koslowski, vice president and lead automotive analyst at Gartner. "By offering over-the-air upgradeability of these technologies, automakers can improve existing in-vehicle features and offer new ones over the course of the vehicle lifecycle."

Module Supports Range of Operating Systems

Tegra K1 will be available to automotive OEMs and Tier 1 suppliers as a visual computing module (VCM), an innovative design first introduced two years ago. The Tegra K1 VCM delivers a full computer system for the vehicle, capable of running various operating systems including QNX, Android, Linux or Windows.

The Tegra VCM allows in-vehicle systems to be easily upgraded as newer hardware becomes available, closing the gap between the rapid pace of innovation in the consumer electronics space and the longer development lifecycles typically experienced in the automotive industry.

"NVIDIA's modular approach enables automakers to fast track development with breakthrough technologies like the Tegra K1, without having to start from scratch," said Roger Lanctot, associate director within the Global Automotive Practice at Strategy Analytics.


Explore further

NVIDIA Tegra 3 processor to power Audi's next-gen infotainment and digital instrument clusters

Provided by NVIDIA
Citation: NVIDIA mobile processor paves the way for self-driving cars (2014, January 6) retrieved 18 July 2019 from https://phys.org/news/2014-01-nvidia-mobile-processor-paves-self-driving.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
7 shares

Feedback to editors

User comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more