Uber Leverages NVIDIA for
January 8, 2018
Uber has selected NVIDIA technology
for the AI computing system in its fleet of self-driving vehicles.
Speaking at the opening press
conference of CES 2018, NVIDIA founder and CEO Jensen Huang said that
the collaboration utilizes NVIDIA technology for Uber Advanced
Technologies Group’s fleets of self-driving cars and freight trucks,
running AI algorithms that enable vehicles to perceive the world,
predict what will happen next and quickly choose the best course of
action, even in complex environments.
“The future of transportation will be transformed by mobility services.
Convenient, affordable mobility-as-a-service will reshape cities and
society, and help support the billion-person increase in the world’s
population over the next decade,” said Huang. “Autonomous vehicles are
the critical technology to making mobility services pervasive. We’re
thrilled to be working with Uber to realize this vision.”
Uber began working on self-driving technology in early 2015, and
launched the first city trials in Pittsburgh, in fall 2016, followed by
a second pilot in Phoenix, starting in early 2017. Over this period,
self-driving Ubers have completed more than 50,000 passenger trips and
have logged over 2 million autonomous miles.
Uber’s use of NVIDIA’s technology reflects the reality that the
computational requirements of self-driving vehicles are enormous.
Self-driving cars and trucks must perceive the world through
high-resolution, 360-degree surround cameras and lidars; localize the
vehicle within centimeter accuracy; detect and track other vehicles and
people; and plan a safe, comfortable path to the destination. All this
processing must be done with multiple levels of redundancy to ensure the
highest level of safety. The computing demands of driverless vehicles
are easily 50 to 100 times more intensive than the most advanced cars
safe, reliable autonomous vehicles requires sophisticated AI software
and a high-performance GPU computing engine in the vehicle,” said Eric
Meyhofer, head of Uber Advanced Technologies Group. “NVIDIA is a key
technology provider to Uber as we bring scalable self-driving cars and
trucks to market.”
Uber began using NVIDIA GPU computing technology in its first test fleet
of Volvo XC90 SUVs, and currently uses high-performance NVIDIA
processors to run deep neural networks in both its self-driving
ride-hailing cars and self-driving freight trucks. The development pace
of the Uber fleet has accelerated dramatically, with the last million
autonomous miles being driven in just 100 days.