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Video: End to End Needs for Autonomous Vehicles

In this video from the HPC User Forum in Detroit, Norm Marks from NVIDIA presents: AI for Autonomous Driving Will Revolutionize the Transportation Industry.

Fueled by advances in artificial intelligence, cars are getting smart enough to begin to drive themselves. But autonomous vehicles will do more than change how we get around. They have the potential to dramatically reduce the number of car crashes, shrink carbon emissions, and provide mobility to people who can’t drive.

The contribution of self-driving cars to society is, arguably, incredible,” said Jensen Huang, NVIDIA CEO and co-founder, during his keynote address at the 2016 Consumer Electronics Show.

Even if just 10-20 percent of cars worldwide have some self-driving capability by 2025, the technology could eliminate driver error — and save 30,000 to 140,000 lives a year, according to a report the consulting firm McKinsey & Company. It estimates that autonomous vehicles could cut fuel use by 15-20 percent and reduce carbon emissions by as much as 300 million tons, equivalent to roughly a quarter of all carbon emissions from petroleum.

Driverless cars weren’t possible until researchers adopted an AI technique known as deep learning, which relies on powerful GPUs, access to vast troves of data, and sophisticated algorithms for deep neural networks to solve complex problems.

Deep learning is essential for autonomous vehicles because no one can write software that anticipates every possible scenario a self-driving car might encounter. With deep learning, the car’s computer can learn, adapt, and improve.

The next HPC User Forum takes place Oct. 1-2, 2018 in Stuttgart, Germany.

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