NVIDIA Announces DRIVE System For Autonomous Vehicles

NVIDIA Announces DRIVE System For Autonomous Vehicles

NVIDIA Announces DRIVE System For Autonomous Vehicles

Uber isn't the only company affected by this incident; the fatality puts heavy scrutiny on other autonomous auto initiatives.

The decision comes on the heels of news last week that a pedestrian hit by one of Uber Technology Inc.'s autonomous vehicles died in Arizona, marking the first fatal accident involving self-driving vehicles.

Autonomous vehicles are already on the streets and will soon be driving people around versus being tested. "It's a reminder of how hard SDC technology is and that it needs to be approached with extreme caution and the best safety technologies", a Nvidia spokesperson said in an email. (NVDA) announced on Tuesday that it will suspend its self-driving vehicle tests around the world.

Today at GTX 2018, Nvidia CEO Jensen Huang announced that the company halted all public self-driving vehicle testing worldwide until further notice, though it's still operating manually-driven vehicles with its AI technologies so it can continue to capture real-world data and work to make these systems safer.

"This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology".

Nvidia is best known for providing technology for other companies in sectors ranging from bitcoin mining to self-driving cars, but it also has its own fleet of self-driving cars, used for research and development purposes.

The chipmaker is testing self-driving technology globally including in New Jersey, Santa Clara, Japan and Germany.

The simulation server is powered by NVIDIA GPUs, each generating a stream of simulated sensor data, which feed into the DRIVE Pegasus for processing.

Drive Constellation allows automakers and other developers to validate and strengthen the technology through billions of driving miles that allow for testing in hard scenarios.

The second server is Nvidia's Drive Pegasus AI auto computer that runs a full autonomous-vehicle software stack, processing the simulated data the same way it would process data from a real self-driving auto. We are temporarily suspending the testing of our self-driving cars on public roads to learn from the Uber incident.

The testing may be taking place in a virtual environment, but it's happening on the same hardware and software that would be found in a self-driving auto, Nvidia's Danny Shapiro explained in a briefing.

Uber proactively suspended self-driving operations in all cities following the accident.

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