Automotive Technology Solutions Overview

  • DRIVER’S ED FOR SELF-DRIVING CARS: HOW OUR DEEP LEARNING TECH TAUGHT A CAR TO DRIVE
  • Now we can successfully train a CNN to operate on NVIDIA DRIVE PX and understand the contextual rules-of-engagement between a vehicle and the road.
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  • Giving Cars the Power to See, Think, and Learn
  • Driverless cars in the first global autonomous motorsports competition, Roborace Championship, will be powered by the NVIDIA DRIVE PX 2 AI supercomputers.

Paving the way for autonomous cars, NVIDIA DRIVE car computers helps cars see, think, and learn.

@nvidia: Watch this #AI car demonstration that shows how #deeplearning applies to self-driving cars. …

NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence (AI) systems for self-driving vehicles. NVIDIA’s unified AI computing architecture enables training deep neural networks in the data center on the NVIDIA DGX-1™, and then seamlessly runs them on NVIDIA DRIVE PX 2 inside the vehicle. This end-to-end approach leverages NVIDIA DriveWorks software and allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle.

With unpredictable humans and uncontrollable weather patterns, the potential hazards of driving in New Jersey are only too apparent. But this also provides the perfect training environment to capture data from a variety of conditions: clear, cloudy, foggy, snowy, daytime, and nighttime. Now we can successfully train a CNN to operate on NVIDIA DRIVE PX and understand the contextual rules-of-engagement between a vehicle and the road.

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Baidu CEO Robin Li and NVIDIA CEO Jen-Hsun Huang announced the world’s first, open artificial intelligence self-driving platform for all car makers. The partnership combines Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control, and automated parking.

20 years after inventing the first commercial deep-learning convolutional-neural-network (CNN) at Bell Labs in New Jersey, the accomplished team of NYU researchers and NVIDIA engineers is reorganizing at their former stomping ground to teach their brain-child Driver’s Ed.

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Driverless cars in the first global autonomous motorsports competition, Roborace Championship, will be powered by the NVIDIA DRIVE PX 2 AI supercomputers. The teams will have identical cars. Their sole competitive advantage: software. It’s truly a contest to build the most advanced artificial mind.

Automotive Technology Solutions Overview