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Is nVidia Going All-In On Autonomous Cars?
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Nvidia is applying all that it knows about deep learning to enable autonomous vehicles.
The GPU vendor has launched NVIDIA DRIVE PX 2 which is an autonomous vehicle development platform powered by the 16nm FinFET-based Pascal GPU.
The GPU maker issued a version of DRIVE PX last year to its automotive partners including Audi, BMW, Daimler, Ford and dozens more. This newer version is equipped with two Tegra SOCs with ARM cores plus two discrete Pascal GPUs.
Nvidia said that the new platform is capable of 24 trillion deep learning operations per second ten times more than the last generation.
It can also offer an aggregate of 8 teraflops of single-precision performance which is a four-fold increase over the PX 1 and many times faster than using a slide rule or counting on your fingers.
The development platform includes the Caffe deep learning framework to run DNN models designed and trained on DIGITS, NVIDIA’s interactive deep learning training system.
Nivida wants to take humans out of the drivers’ seat to reduce the one million automotive-related fatalities each year.
Perception is the main issue and deep learning is able to achieve super-human perception capability. DRIVE PX 2 can process 12 video cameras, plus lidar, radar and ultrasonic sensors. This 360 degree assessment makes it possible to detect objects, identify them and their position relative to the car, and then calculate a safe and comfortable trajectory.
Courtesy-Fud
Nvidia Teams Up With Volvo For Self-Driving Car Computer
January 15, 2016 by admin
Filed under Around The Net
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Nvidia Corp. took the wraps off of a new, lunchbox-size super-computer for self-driving cars and announced that Volvo Car Group will be the new device’s first customer.
Volvo, of Sweden, is owned by China’s Geely Automotive Holdings.
Nvidia made the announcement at the beginning of the Consumer Electronic Show in Las Vegas. Calls to Volvo’s spokesman in China were not immediately answered.
The new Drive PX 2, said company CEO Jen-Hsung Huang, has computing power equivalent to 150 MacBook Pro computers, and can deliver up to 24 trillion “deep learning” operations – allowing the computer to use artificial intelligence to program itself to recognize driving situations – per second.
Partnerships between automakers and Silicon Valley companies on self-driving technologies are taking center stage at this year’s show.
Also on Monday, General Motors Co. announced a $500 million investment in ride-sharing service Lyft.
Huang didn’t offer revenue projections for Drive PX 2, but automotive is the fastest-growing business segment for Nvidia, whose largest revenue source is video games.
Source-http://www.thegurureview.net/aroundnet-category/nvidia-teams-up-with-volvo-for-self-driving-car-computer.html
Nvidia Unveils New Tegra X1 Chip
Chipmaker Nvidia debuted a new processor aimed at powering high-end graphics on car dashboards as well as sophisticated auto-pilot systems.
At an event in Las Vegas ahead of the Consumer Electronics Show, Nvidia Chief Executive Jen-Hsun Huang said the Tegra X1 chip would provide enough computing horsepower for automobiles with displays built into mirrors, dashboard, navigation systems and passenger seating.
“The future car is going to have an enormous amount of computational ability,” Huang said. “We imagine the number of displays in your car will grow very rapidly.”
The Tegra X1 has twice the performance of its predecessor, the Tegra K1, and will come out in early 2015, Nvidia said.
An upcoming platform combining two of the X1 chips can process data collected from up to 12 high-definition cameras monitoring traffic, blind spots and other safety conditions in driver assistance systems, Huang said.
Combined with next-generation software, the chips can help detect and read road signs, recognize pedestrians and detect braking vehicles, he said.
Santa Clara, California-based Nvidia in recent years has been expanding beyond its core business of designing high-end graphics chips for personal computers.
After struggling to compete against larger chipmakers like Qualcomm in smartphones and tablets, Nvidia is now increasing its focus on using its Tegra mobile chips in cars and is already supplying companies including Audi, BMW and Tesla.