Nvidia Launches New Artificial Intelligence for Connected car

by January 5, 2016 0 comments
Image courtesy of NVIDIA

NEW DELHI, INDIA: NVIDIA has launched NVIDIA DRIVE PX 2 for in-vehicle artificial intelligence.

Powered by Nvidia GPUs it is capable of processing the inputs of 12 video cameras, as well as lidar, radar, and ultrasonic sensors. The unit features water-cooling, to enable operation under severe conditions.

The processing is carried by Nvidia DriveWorks featuring a suite of software tools that focus on the testing and development of autonomous vehicles. DRIVE PX 2’s deep learning capabilities enable it to quickly learn how to address the challenges of everyday driving, such as unexpected road debris, erratic drivers and construction zones. Deep learning also addresses numerous problem areas where traditional computer vision techniques are insufficient – such as poor weather conditions like rain, snow and fog, and difficult lighting conditions like sunrise, sunset and extreme darkness.

“Drivers deal with an infinitely complex world and modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars ,” said Jen-Hsun Huang, Co-founder and CEO, NVIDIA.

Swedish automaker Volvo is a key partner on this project and plans to deploy Drive PX 2 in Volvo XC90 SUVs beginning next year as part of its “Drive Me” autonomous-car pilot program.

“NVIDIA’s GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs – providing a powerful force for a better future,” Jen-Hsun Huang further added.

Since NVIDIA delivered the first-generation DRIVE PX last summer, more than 50 automakers, tier 1 suppliers, developers and research institutions have adopted NVIDIA’s AI platform for autonomous driving development.

The computer has the processing power of 150 Apple Macbook Pros and deploys a host of sensors to establish a 360-degree view of its surroundings.

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