NOTABLE
AI for Autonomous Vehicles
Think of the processing power of 150 MacBook Pros in
something you can hold in your hand: the NVIDIA DRIVE PX 2
processing engine for autonomous vehicle control.
One of the things that gets left out much of the time
about autonomous vehicles is a discussion of what might
actually make such things feasible: artificial intelligence
(AI). Sure, the sensors and the actuators and the proces-
sors are all integral, but it is going to require something
that will have greater situational awareness in
order to pull it off.
"Drivers deal with an infinitely complex
world," said Jen-Hsun Huang, co-founder and
CEO, NVIDIA ( nvidia.com ). So when there's no
driver, then there needs to be something that
can deal with this infinite complexity.
So NVIDIA has developed DRIVE PX 2. It
is based on two Tegra processors and two
next-gen discrete graphics processing units
based on the company's Pascal architecture.
All in, this means it has the ability to perform
up to 24-trillion deep learning operations per
second. To put that in some sort of context: it
is the processing capabilities of 150 MacBook
Pros.
Or, looked at still another way, DRIVE PX 2
can process the inputs of 12 video cameras, in
addition to lidar, radar and ultrasonic sensors.
It fuses them to accurately detect objects,
identify them, determine where the car is rela-
tive to the world around it, and then calculate
its optimal path for safe travel.
NVIDIA launched DRIVE PX in the summer
of 2015. Some 50 OEMs, suppliers, research-
ers and developers are working with this AI
platform. DRIVE PX 2 is scheduled for launch
in the fourth quarter of 2016.
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