NVIDIA DRIVE

Scalable AI Platform for Autonomous Driving

THE JOURNEY TO ZERO ACCIDENTS

Autonomous vehicles will transform the way we live, work, and play, creating safer and more efficient roads. To realise these revolutionary benefits, the car of the future will require a massive amount of computational horsepower. Tapping into decades-long experience in AI, NVIDIA DRIVE hardware and software solutions deliver industry-leading performance to help automakers, truck makers, tier 1 suppliers, and startups make autonomous driving a reality.

DRIVE AutoPilot

DRIVE AutoPilot provides an industry-leading driver-assistance experience, handling challenges both inside and outside the vehicle. It’s the world’s first commercially available Level 2+ automated driving system, integrating the high-performance NVIDIA Xavier™ SoC and DRIVE Software. This lets manufacturers bring sophisticated driver assistance features, as well as intelligent cockpit and visualization capabilities, to passenger cars and commercial trucks. AutoPilot will begin production in 2020.

Hardware

NVIDIA DRIVE AGX is a scalable, open autonomous vehicle computing platform that serves as the brain for autonomous vehicles. The only hardware platform of its kind, NVIDIA DRIVE AGX delivers high-performance, energy-efficient computing for functionally safe AI-powered self-driving.

Software

To augment and, eventually, replace the human driver, NVIDIA DRIVE software enables key self-driving functionalities such as sensor fusion and perception. The open, full-stack solution features libraries, toolkits, frameworks, source packages, and compilers for vehicle manufacturers and suppliers to develop applications for autonomous driving and user experience.

Simulation

Photorealistic simulation is a safe, scalable solution for testing and validating a self-driving platform before it hits the road. NVIDIA DRIVE Constellation is a data center solution that integrates powerful GPUs and DRIVE AGX Pegasus. Advanced visualisation software running on GPUs simulate cameras, radar, and lidar as inputs to DRIVE AGX Pegasus, which processes the data as if it were actually driving on the road. This scalable system is capable of generating billions of miles of diverse autonomous vehicle testing scenarios to validate hardware- and software-in-the-loop prior to deployment.

Ready to Move Forward?

Get answers to your NVIDIA DRIVE questions and find out how you can start developing AI-powered autonomous vehicles.