Nvidia pauses its self-driving auto tests in wake of Uber crash

NVIDIA logo shown at SIGGRAPH 2017

In the meantime, until Nvidia can sign off on the safety of its self-driving auto technology, the company isn't willing to put lives at risk. "VRHero 5K Plus and NVIDIA Quadro GV100 deliver that and thus make a ideal, extremely powerful union", said Marek Polcak, co-founder and CEO at VRgineers in a statement.

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

The data collection vehicles are cars in the traditional sense; a driver is at the wheel controlling the vehicle while an autonomous sensor suite collects data, according to TechCrunch.

Nvidia also explained why the accident led the company to suspend its testing."It's a reminder of "how hard [self-driving car] technology is".

During his keynote at NVIDIA GTC in San Jose on Tuesday, company CEO and founder Jensen Huang explained that the partnership will see the open source NVIDIA Deep Learning Accelerator (NVDLA) architecture integrated into Arm's Project Trillium for machine learning.

"Ultimately AVs will be far safer than human drivers, so this important work needs to continue", a Nvidia spokesperson said in an email.

The company has Uber as a customer as the ride hailing service uses the chipmaker's computing platform in its fleet of self-driving vehicles.

The simulation server is powered by NVIDIA GPUs, each one generating a stream of simulated sensor data, which then feeds into the DRIVE Pegasus for processing. This data is processed just like it is actually coming from the sensors of a auto on the road-at speeds of 30 times per second.

Last week, Toyota also halted its self-driving auto testing.

The simulator is constantly validating information coming from the DRIVE Pegasus AI, while the DRIVE Sim can create virtual driving scenarios ranging from rain to glare to limited night vision.

"With the new NVIDIA Quadro GV100, driven by the NVIDIA Volta GPU architecture, our VRHero 5Kenterprise clients will be able to run larger and more sophisticated 3D scenes, use near production-quality models without the need for tedious manual optimization, and enable performance-demanding functions, such as particle simulations or antialiasing in VR", adds Polcak.

He referenced an incident last week where a pedestrian died after being struck by a self-driving auto in Arizona.

Nvidia has halted its autonomous vehicle test program in the wake of the fatal Uber accident. Earlier today, Arizona Governor Doug Ducey suspended Uber's ability to test and operate self-driving cars on public roads in the state.

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