Published: Wed, March 28, 2018
Sci-tech | By Jackie Newman

Nvidia temporarily halts self-driving tests globally

Nvidia temporarily halts self-driving tests globally

DRIVE Sim software generates photoreal data streams to create a vast range of different testing environments. With its exclusive focus on data and analytics, Teradata will be collaborating with NVIDIA on solutions that drive impactful business outcomes in industries including banking and insurance, automotive, manufacturing, telco, healthcare, retail, media and entertainment, and travel and transportation. The second server contains the NVIDIA DRIVE Pegasus AI auto computer that runs the entire software stack in an autonomous driving vehicle.

The updates to NVIDIA's deep learning and HPC software stack are available at no charge to its developer community, which now totals more than 820,000 registered users, compared with about 480,000 a year ago. The on-demand auto pooling company is just one of many tech giants that uses Nvidia's computing platform to power its fleet of self-driving cars.

Following the incident, Uber suspended its self-driving testing program in all cities, and earlier today the Governor of Arizona suspended Uber's right to test automated vehicles in the state pending the NTSB and NHTSA's investigations.

The second server houses the Nvidia DRIVE Pegasus AI, which will process the gathered data as if it's coming from sensors in a self-driving vehicle on the road.

"With DRIVE Constellation, we've accomplished that by combining our expertise in visual computing and data centers".

We'll play fair, but talks must continue: Premier Li
The Wall Street Journal first reported the demands from US officials, saying they came in a letter sent to Beijing last week. USA officials said they're determined to press China to lower tariffs on cars and open up its financial services sector.

"Microsoft and NVIDIA have made enormous progress over the years in our collaboration on AI technologies, including recent breakthroughs in Chinese-to-English translation", said Xuedong Huang, technical fellow and head of speech and language at Microsoft. "With virtual simulation, we can increase the robustness of our algorithms by testing billions of miles of custom scenarios and rare corner (edge) cases, all in a fraction of the time and cost it would take to do so on physical roads". This unique, "hardware-in-the-loop" cycle repeats times per second and is used to validate the algorithms and software running Pegasus, to ensure it's operating the simulated self-driving vehicle correctly.

"We are temporarily suspending the testing of our self-driving cars on public roads to learn from the Uber incident", a company spokesman said. It can simulate a rainstorm, or bright sunlight at different times of the day, or complete darkness.

Huang said the crash highlighted why companies are working to develop autonomous vehicles: reducing auto accidents that harm people and damage property.

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. Currently, over 370 partner companies and about 200 startups are using various versions of NVIDIA's DRIVE platform to develop their self-driving technology.

Like this: