Press Release Details

NIO and Mobileye Joining Forces to Deliver L4 Autonomy by 2019


-- NIO and Mobileye sign MOU for a strategic partnership to jointly develop L4 autonomy using the Mobileye solution portfolio for NIO USA vehicles by 2019.
-- As part of the partnership, NIO engineering will develop and deliver for NIO customers unique L4 features, built leveraging the Mobileye platform in conjunction with other sensors and technologies.

SAN JOSE, Calif. and JERUSALEM, Jan. 3, 2017 /PRNewswire/ -- Today NIO and Mobileye N.V. (NYSE: MBLY), announced that they have signed a Memorandum of Understanding for a strategic partnership to jointly develop differentiated L4 autonomy for NIO US vehicles by 2019.

NIO USA vehicles will be built upon the Car 3.0 stack, a set of integrated modular technologies and infrastructure conceived from the ground up for L4 Autonomous Electric Vehicles.  In its entirety, the Car 3.0 stack will deliver transformational digitally immersive user experiences for their customers.  NIO USA plans to launch its first vehicles built fully in 2019.

As part of the engagement, Mobileye will provide an EyeQ®-based compute platform hosting Mobileye solutions for full 8-camera surround vision and sensor fusion.  These solutions will be deployed within the L4 Autonomy module of NIO USA's Car 3.0 stack.  NIO USA will develop certain L4 AD features that augment the Mobileye system, and enable NIO's Car 3.0 stack to deliver specific target experiences for vehicle users. 

"At NIO USA we are focused on delivering amazing digitally immersive user experiences in our vehicles, made possible only by our Car 3.0 stack," said Padmasree Warrior, CEO of NIO USA. "Autonomy is an important module of our Car 3.0 stack.  We are delighted to be partnering with Mobileye on the L4-AD system module, which will interact with the rest of the Car 3.0 stack to deliver unique, purpose-built user experiences available only to our customers."

"We look forward to having NIO as a strategic partner and to our joint global development for L4 autonomy by 2019," said Professor Amnon Shashua, Chairman and CTO of Mobileye. "Mobileye will work with NIO on the EyeQ4 and later EyeQ5 from deployment of computer vision and fusion with radars and lidars, to REM™ mapping and driving policy algorithms." 

If you have questions, please contact:

Annie Weckesser
+1 408 219 2408

Mobileye Investor Relations
Dan Galves
+1 917 960 1525

Mobileye Media Relations
Alexis Blais
+1 203 682 8270

About NIO
NIO is a global start-up, designing and developing smart, high-performance, premium electric vehicles. NIO has recruited thousands of world-class R&D and design experts from around the world with significant technology and management background from leading automobile and high tech companies. It has more than 2,000 employees in San Jose, Shanghai, Munich, London and eight other locations.  In October it announced that it was issued an Autonomous Vehicle Testing Permit by the California DMV and it would begin testing on public roads under the Autonomous Vehicle Tester Program guidelines as it progresses on its path to bring autonomy to market. Investors include Tencent, Temasek, Sequoia Capital, Lenovo, TPG and other world-renowned investment institutions. The company is also involved in the FIA Formula Championship, the world's first single-seater, all-electric racing series. The NextEV NIO Formula E team won the inaugural drivers' championship title in 2015. Learn more at

About Mobileye
Mobileye N.V. is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Our technology keeps passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Our proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye's products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a RoadBook™ of localized drivable paths and visual landmarks using REM™; and provide mapping for autonomous driving. Our products are or will be integrated into car models from more than 25 global automakers. Our products are also available in the aftermarket.

Forward-Looking Statements
This press release contains certain forward-looking statements. Words such as "believes," "intends," "expects," "projects," "anticipates," and "future" or similar expressions are intended to identify forward-looking statements. These statements are only predictions based on our current expectations and projections about future events. You should not place undue reliance on these statements. Many factors may cause our actual results to differ materially from any forward-looking statement, including the risk factors and other matters set forth in the public filings of each of the parties to this press release. Neither party undertakes any obligation to update or revise any forward-looking statement, whether as a result of new information, future events or otherwise, except as may be required by law.

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SOURCE Mobileye