Nvidia redefines autonomous vehicle testing with VR simulation system

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The company, which provides technology to Uber Technologies Inc., stopped its self-driving test program on public roads in the aftermath of a March 18 fatal accident involving an Uber vehicle in Tempe, Arizona. "This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology", the spokesperson said. "Our global fleet of manually driven data collection vehicles continue to operate". This time, it's announcing the actual product, which it expects to make available to early access partners in the third quarter.

Additionally, through close collaboration with leading cloud service providers, every major deep learning framework is continually optimised for NVIDIA's GPU computing platform. The second contains a powerful Nvidia Drive Pegasus AI auto computer that runs the complete autonomous vehicle software stack and processes the simulated data as if it were coming from the sensors of a auto driving on the road.

These systems enable data scientists to scale their work from the complex experiments they run at their desk to the largest deep learning problems. Nvidia had been testing its autonomous driving technology in New Jersey, California, Japan and Germany.

NVIDIA announced the Quadro GV100 GPU at its GPU Technology Conference today and it's the first graphics processor from the company that's capable of powering its RTX ray tracing technology.

Nvidia Corporation (NASDAQ:NVDA) announced that it would be halting its self-driving auto tests for a moment in order to ensure the safety of people on the road.

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

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 vehicle, Nvidia's Danny Shapiro explained in a briefing. Nvidia said the system will let it test the AI for self-driving cars by driving billions of miles in VR simulations.

Less than 10 days ago, an Uber self-driving auto struck and killed a pedestrian who was walking outside of a crosswalk in Tempe, Arizona. It can simulate different weather conditions, such as rainstorms and snowstorms; blinding glare at different times of the day and limited vision at night; and all different types of road surfaces and terrain. The vehicle was in autonomous mode when it struck the victim, and it is the first known pedestrian death involving a self-driving auto.

"Deploying production self-driving cars requires a solution for testing and validating on billions of driving miles to achieve the safety and reliability needed for customers", said Rob Csongor, vice president of automotive at Nvidia.