08 juin 2018

Autonomous Car Crashes: Who — or What — Is to Blame?

Autonomous Car Crashes: Who — or What — Is to Blame? The promise of driverless vehicle technology to reduce road fatalities hangs in the balance now as never before. Two recent deaths involving Uber and Tesla vehicles using driverless systems have raised the debate on safety to levels that threaten to significantly delay or derail adoption of the technology.   Uber has temporarily halted tests of self-driving cars after the latest crash, and so have Toyota and graphic chips manufacturer Nvidia, whose artificial... [Lire la suite]
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10 avril 2018

NVIDIA Clarifies What Tech It Provides For Uber’s Self-Driving Project

Credit: Uber The unfortunate fatal crash involving an Uber self-driving car has reignited interest in the conversation related to the overall safety and security of cars that are capable of driving themselves. NVIDIA is one of the companies that provides tech for Uber’s self-driving project and the company has decided to set the record straight on the elements of its technology that are used by Uber in the wake of the fatal crash. Read more : http://www.ubergizmo.com/
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11 mars 2017

Audi will have an autonomous car in 2020 using NVIDIA tech and AI

Audi will have an autonomous car in 2020 using NVIDIA tech and AI Audi and NVIDIA have been working together for a while, with most of the results being fancy infotainment systems like the current version of MMI and Audi's Virtual Cockpit display setup. Now the two are partnering to build autonomous vehicles that will leverage NVIDIA technology. Audi has a demonstrator now and promises a fully autonomous car for the year 2020.The tech underlying these new self-driving vehicles is NVIDIA's DRIVE computing platform. It uses... [Lire la suite]
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21 juin 2016

Mobileye To Race Tesla, Google, Nvidia In Car Mapping Data

  Mobileye To Race Tesla, Google, Nvidia In Car Mapping DataMobileye ( MBLY) and partner General Motors aim to overtake Tesla Motors ( TSLA) and Alphabet's ( GOOGL) Google in collecting mapping data from self-driving cars, says RBC Capital. While Israel-based Mobileye has alliances with many automakers, Nvidia is pushing into the self-driving-car market using artificial intelligence, analysts say.http://www.investors.com  
07 janvier 2016

Nvidia announces ‘supercomputer’ for self-driving cars at CES 2016

Do you like teraflops? By Dieter Bohn Nvidia is kicking off CES 2016 with its traditional first keynote. CEO Jen-Hsun Huang wasted no time getting to the "punchline," a new computer for cars he's calling the Drive PX2, the follow-up to last year's Drive CX. Nvidia is famous for throwing out big numbers to tout the power of their processors, and many of them were mentioned here on stage. Its processing power is supposedly equivalent to 150 MacBook Pros, all sitting in a computer that's about the size of a lunchbox. It has... [Lire la suite]
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21 septembre 2015

Elektrobit, Nvidia and Infineon make common cause around the autonomous driving car

The publisher of embedded software for the automotive Elektrobit subsidiary since recent months of  Continental,  has collaborated with Nvidia and Infineon  to develop a turnkey solution designed to facilitate the work of aid systems for advanced developers (ADAS), providing the highest levels of functional safety.While itis built around the platform calculation for autonomous cars Drive PX Nvidia,the solution is supposed to provide computing power and intelligence needed to manage increased complexity that is... [Lire la suite]

10 avril 2015

NVIDIA TegraX1 Preview and Architecture Analysis : Automotive: DRIVE CX and DRIVE PX

                  With NVIDIA’s DRIVE CX, automotive OEMs have a Tegra X1 in a board that provides support for Bluetooth, modems, audio systems, cameras, and other interfaces needed to integrate such an SoC into a car. This makes it possible to drive up to 16.6MP of display resolution, which would be around two 4K displays or eight 1080p displays. However, each DRIVE CX module can only drive three displays. In press photos, it appears that this platform also has a fan which is... [Lire la suite]
27 janvier 2015

Google Has Begun Discussions With Top Automakers On Self-Driving Car

Google has begun discussions with most of the world’s top automakers and has assembled a team of traditional and nontraditional suppliers to speed efforts to bring self-driving cars to market by 2020, a Google executive said. “We’d be remiss not to talk to … the biggest auto manufacturers. They’ve got a lot to offer. For us to jump in and say that we can do this better, that’s arrogant” – Chris Urmson, director of Google’s self-driving car project.  Those manufacturers, he said, include General Motors Co, Ford Motor Co, Toyota... [Lire la suite]
16 janvier 2015

At CES 2015, Connected Cars Will Steal the Gadget Spotlight

“CES has become a major launch point for a lot of the big automakers,” said Mark Boyadjis, technology analyst for researcher IHS in Minnetonka, Minnesota. “CES is a way for them to get on a global stage for technology.” The evolution of Ford’s CES exhibit tells the story of the automotive ascent at the trade show that attracts 140,000 visitors. Five years ago, Ford displayed its new Taurus on a 20-foot-by-20-foot piece of carpet. This year, Ford has a two-story display with five vehicles, a wall of digital screens and private... [Lire la suite]
06 janvier 2015

Nvidia launches Tegra X1, bringing deep neural learning to self-driving cars

Move over, Tegra K1, you’re already obsolete. At a Sunday night press conference, Nvidia CEO Jen-Hsun Huang launched a new mobile superchip, the Tegra X1. If Nvidia has its way, the X1 will be the graphics and artificial intelligence engine for the car of tomorrow. The Tegra X1 includes a 256-core “Maxwell” CPU, the same architecture that Nvidia launched last February. Maxwell powers the GTX 980 and GTX 970 chips that the company launched this fall. But the new X1 also includes an 8-core, 64-bit Denver CPU. All told, the new... [Lire la suite]