Toyota partners with NVIDIA to create the future of autonomous vehicles

NVIDIA's Drive Constellation and Safety Force Field platforms put road safety first

NVIDIA is extending its relationship with Toyota to bring self-driving vehicles safely to the road.

The GPU giant announced that Toyota Research Institute-Advanced Development (TRI-AD) is the first customer of its autonomous vehicle simulation platform Drive Constellation.

Originally unveiled last year, Constellation is a cloud-based platform that enables car companies to clock up million of miles on virtual roads, mapping out a range of scenarios from a routine journey to hazardous driving conditions.

Advertisement - Article continues below

Drive Constellation is comprised of two servers: Constellation Simulator, which uses NVIDIA GPUs to run software called Drive Sim and generate a virtual world to feed into the virtual car's sensors; and Constellation Vehicle, which processes the simulated sensor data thanks to the Drive AGX in-car computer.

On stage at the GTC 2019 keynote, NVIDIA CEO Jensen Huang showcased Constellation's scalability and ability to perform seamless driving tests in the cloud. Constellation will be available to developers anywhere in the world, who'll be able to submit their own scenarios to the platform's data centres then see the results for themselves. This large-scale validation capability means years of testing will be completed in a fraction of the time.

"Self-driving vehicles for everyday use and commercial applications in countless industries will soon be commonplace," Huang said. "Everything that moves will be autonomous. Producing all these vehicles at scale will require a connected collaboration for all elements of the system. Our relationship with TRI-AD and TRI is a model for that collaboration."

NVIDIA's platform will now be used end-to-end by Toyota for training deep neural networks, testing, validation and deployment of its self-driving cars.

Advertisement - Article continues below
Advertisement - Article continues below

The infinite driving scenarios we encounter means that AI, deep learning in particular, will become key to autonomous vehicles safely navigating our roads. To that end, NVIDIA also used GTC 2019 to announce a new addition to its driving software suite Safety Force Field (SFF).

Described by Huang as a "safety cocoon", SFF takes in sensor data and determines what the self-driving vehicle needs to do in order to protect itself, its occupants and other road users. SFF uses mathematical zero-collision verifications to achieve road safety, and has been tested in simulations that would be too dangerous for the real world.

"By removing human error from the driving equation, we can prevent the vast majority of collisions and minimise the impact of those that do occur," said David Nister, NVIDIA's vice president of autonomous driving software.

"SFF is mathematically designed such that autonomous vehicles equipped with SFF will, like magnets that repel each other, keep themselves out of harm's way and not contribute to unsafe situations."

Featured Resources

Top 5 challenges of migrating applications to the cloud

Explore how VMware Cloud on AWS helps to address common cloud migration challenges

Download now

3 reasons why now is the time to rethink your network

Changing requirements call for new solutions

Download now

All-flash buyer’s guide

Tips for evaluating Solid-State Arrays

Download now

Enabling enterprise machine and deep learning with intelligent storage

The power of AI can only be realised through efficient and performant delivery of data

Download now



What is a GPU?

27 Feb 2020
artificial intelligence (AI)

MIT develops AI tech to edit outdated Wikipedia articles

13 Feb 2020

Most Popular

Server & storage

HPE warns of 'critical' bug that destroys SSDs after 40,000 hours

26 Mar 2020

These are the companies offering free software during the coronavirus crisis

25 Mar 2020
video conferencing

Zoom beams iOS user data to Facebook for targeted ads

27 Mar 2020
high-performance computing (HPC)

IBM dedicates supercomputing power to coronavirus research

24 Mar 2020