At CES in January, the company announced that it was partnering with Uber on its autonomous vehicle tests.
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.
Arguments that the algorithm driving the Uber self-driving auto that struck and killed a pedestrian in Arizona this month may not have been at fault did not matter to Arizona Governor Doug Ducey, when he took away the company's ability to continue testing the technology in the state Monday, calling the incident "an unquestionable failure".
"Autonomous vehicles need to be developed with a system that covers training to testing to driving", said Luca De Ambroggi, research and analyst director at IHS Markit. "It's a reminder of how hard [self-driving car] technology is and that it needs to be approached with extreme caution and the best safety technologies", Nvidia said in a statement.
Last week, Uber suspended North American tests of its self-driving vehicles after one of its self-driving cars killed a woman in Arizona.
With adults quiescent, teens must protest gun violence
Others read "Arm me with school supplies" and "It only takes one bullet to break 1 million hearts". "I'm sick of the violence". The collective mission, according to organizers, is to demand Congress pass legislation to improve school safety.
Nvidia (NASDAQ:NVDA) announces the Drive Constellation system for running self-driving vehicle simulations.
"This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology". Nvidia is now leading the charge in developing technologies for self-driving vehicles, and it's not taking the news of Uber's fatal crash lightly.
Nvidia is now attempting to bring the same type of technology to a wider range of companies that use the Drive autonomous computing platform. The first server powers the Nvidia DRIVE Sim, a software set that emulates a self-driving car's various sensors, including its cameras, lidar and radar.
The technology is created to allow automakers and others to validate their technology on billions of driving miles and increase the strength of their algorithms by repeatedly testing hard scenarios, which would be impractical in the real world.
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. Waymo uses simulation in addition to physical testing.
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