Latest in Gear

Image credit:

NVIDIA aims to make self-driving safer with virtual simulations

The Drive Constellation system will stress test autonomous driving algorithms.
Devindra Hardawar, @devindra
March 27, 2018
Share
Tweet
Share
Steve Marcus / Reuters

Sponsored Links

Amid the torrent of news at CES in January, it was easy to miss the unveiling of NVIDIA's Drive platform -- a way for the company to test out its self-driving algorithms through repeated simulations. At that point, it was more of a concept than an actual product. Today, the company revealed its Drive Constellation system, a multi-server setup that'll let its partners run those self-driving simulations on their own. Think of it as The Matrix for autonomous algorithms: It's a way to train those vehicles to deal with extreme situations, without endangering anyone in the real world. The news comes after NVIDIA announced that it'll be pausing its self-driving testing on roads, following last week's fatal Uber self-driving accident.

On stage at the company's GPU Technology Conference (GTC) today, CEO Jensen Huang described self-driving as "probably the hardest computing technology we've ever encountered." But, after the Uber accident, he says he was reminded just how important this work is. "We have to solve it step by step by step," Huang said. "We're dedicating ourselves to this problem. The grandest of computer problems."

On one end of the Constellation system is a server running NVIDIA's Drive Sim software. As you'd probably guess, it simulates all of the technology you'd find on a self-driving car, including sensors, cameras, radar and lidar (the light and distance measuring component). It's powered by the company's GPUs, each of which creates its own stream of sensor data. The simulation server can also render "photoreal data streams" to reflect all sorts of driving conditions, like a fierce blizzard or glare during a sunset.

Another server is powered by the company's Drive Pegasus software, which runs all of NVIDIA's autonomous car technology and processes the incoming sensor data. The Pegasus server sends its responses back to the simulation machine for validation. That feedback loop occurs 30 times a second, according to NVIDIA.

Using this dual server setup, car makers will be able to construct all sorts of extreme scenarios to see how their self-driving algorithms react. The obvious drawback is that it's tough to simulate every potential issue, but it's still better than relying entirely on real-world testing (especially since it can easily be run millions of times per day).

Like any machine learning algorithm, NVIDIA's self-driving technology will only get better with every simulation. At CES, the company unveiled its Xavier system-on-a-chip, which will let other companies quickly build up their own autonomous vehicles. NVIDIA says early access partners will get access to the Drive Constellation platform in the third quarter of this year.

All products recommended by Engadget are selected by our editorial team, independent of our parent company. Some of our stories include affiliate links. If you buy something through one of these links, we may earn an affiliate commission.
Comment
Comments
Share
Tweet
Share

Popular on Engadget

The 2020 Engadget Holiday Gift Guide

The 2020 Engadget Holiday Gift Guide

View
My return to ‘No Man’s Sky’ was a reminder of death and the void

My return to ‘No Man’s Sky’ was a reminder of death and the void

View
China's lunar sampling robot beams back its first full-color moon shots

China's lunar sampling robot beams back its first full-color moon shots

View
Watch the trailer for Studio Ghibli's first fully CG movie

Watch the trailer for Studio Ghibli's first fully CG movie

View
The Morning After: Samsung might not release a new Galaxy Note next year

The Morning After: Samsung might not release a new Galaxy Note next year

View

From around the web

Page 1Page 1ear iconeye iconFill 23text filevr