Top Manufacturers choose Nvidia for Autonomous Motoring
Published Date: 5th Jan 2016
Nvidia are leading the way with the processing power behind autonomous motoring.
As mentioned in our previous CES 2016 article. Nvidia are putting their foot down to accelerate growth in the autonomous driving market.
They have launched the new PX 2 water cooled chipset, designed to be the brain of this next generation artificial intelligence.
NVIDIA DRIVE PX 2 allows the automotive industry to use artificial intelligence to tackle the complexities inherent in autonomous driving. It utilizes deep learning on NVIDIA's most advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.
"Drivers deal with an infinitely complex world," said Jen-Hsun Huang, co-founder and CEO, NVIDIA. "Modern artificial intelligence and GPU (Graphics Processing Unit) breakthroughs enable us to finally tackle the daunting challenges of self-driving cars. "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."
Nvidia have a strong market adoption with these manufacturers quoted saying -
"Using NVIDIA's DIGITS deep learning platform, in less than four hours we achieved over 96 percent accuracy using Ruhr University Bochum's traffic sign database. While others invested years of development to achieve similar levels of perception with classical computer vision algorithms, we have been able to do it at the speed of light." -- Matthias Rudolph, director of Architecture Driver Assistance Systems at Audi
"BMW is exploring the use of deep learning for a wide range of automotive use cases, from autonomous driving to quality inspection in manufacturing. The ability to rapidly train deep neural networks on vast amounts of data is critical. Using an NVIDIA GPU cluster equipped with NVIDIA DIGITS, we are achieving excellent results." -- Uwe Higgen, head of BMW Group Technology Office USA
"Due to deep learning, we brought the vehicle's environment perception a significant step closer to human performance and exceed the performance of classic computer vision." -- Ralf G. Herrtwich, director of Vehicle Automation at Daimler
"Deep learning on NVIDIA DIGITS has allowed for a 30X enhancement in training pedestrian detection algorithms, which are being further tested and developed as we move them onto NVIDIA DRIVE PX." -- Dragos Maciuca, technical director of Ford Research and Innovation Center -