Consumer Electronics Show (CES)--Speaking on the topic of
autonomous driving today at CES 2018, Mobileye CEO Professor Amnon
Shashua explained that millions of cars hitting the streets this
year, simply equipped with a front-facing camera and Mobileye’s new
fourth-generation EyeQ® system-on-chip, will play a crucial role in
the delivery of a driverless future. These cars from BMW, Nissan
and Volkswagen will harvest low-bandwidth data packets, which will
be aggregated in the cloud, thereby enabling creation of
high-definition maps through Mobileye’s Road Experience Management
(REM™) program.
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Professor Amnon Shashua, senior vice
president of Intel and CEO/CTO of Mobileye, arrives on stage from
the backseat of an autonomous car during Intel's preshow keynote at
the 2018 Consumer Electronics Show (CES) on Monday, Jan. 8, 2018,
in Las Vegas. Shashua joined Brian Krzanich, Intel Corporation
chief executive officer, during the keynote. Intel displays how the
power of data is affecting our daily lives at the event, which runs
Jan. 9-12. (Credit: Walden Kirsch/Intel Corporation)
These high-definition maps will eventually play a key role in
delivering safe and affordable Level 4/5 autonomous cars, but in
the near-term are creating an entire new category called Level 2+.
Advanced consumer-targeted systems, which take over the driving
tasks under many conditions (on-highway and beyond), have gained
significant momentum. Many were included in Mobileye’s 30 ADAS
design wins in 2017 and are among Mobileye’s 15 program launches in
2018. The ability to deliver precision maps at scale and low cost
by leveraging the proliferation of camera-based safety systems on
cars takes these systems to a new level at an affordable price.
Overall, Mobileye has design wins for advanced L2+ and L3
autonomous systems with 11 automakers who collectively represent
more than 50 percent of the auto industry – designs that will
launch this year and in 2019.
More: The 6 Levels of Autonomous Driving Automation |
Mobileye News | 2018 CES (Press Kit)
Through ADAS technology today, and fully autonomous technology
tomorrow, cars are poised to become the greatest data conduits on
the planet. As Intel CEO Brian Krzanich noted in his keynote
address and Professor Shashua echoed today, the ability to leverage
the coming flood of data is critical to the eventual deployment of
driverless cars at mass scale. Together, Intel and Mobileye have
the strategy, resources, products and design wins to address this
coming data challenge.
Other progress markers highlighted during Professor Shashua’s
talk include:
Combined Intel-Mobileye Solution Disclosure: Using a
camera-first approach to AV system design, Professor Shashua
described a combined Intel-Mobileye platform that is
power-performance optimized to enable economically scalable L4/L5
autonomous vehicles. This platform is comprised of two EyeQ5 SoCs,
one Intel Atom® C3xx4 processor and Mobileye software.
Level 4/5 Partnerships: In parallel to ADAS and L2+/L3
development for consumer-owned vehicles, most automakers are also
in the development stages for L4/L5 technology to support
fleet-owned networks of fully autonomous vehicles. Today Mobileye
announces a new collaboration with large Chinese automaker SAIC*
Motor to develop L3/L4/L5 autonomous vehicles as well as bring REM
mapping to China. Deep R&D engagements with a number of other
major automakers are ongoing and additional announcements are
expected soon.
Progress in ADAS: Mobileye shipped nearly 9 million chips
in 2017 and launched multiple programs including the Audi* A8 L3
system. Thirty new design wins from 27 separate automakers in 2017
ensures Mobileye-powered ADAS solutions will grow substantially
beyond the 24 million vehicles already on the road today. Of note:
Automaker demand for L2+ and L3 systems gained momentum as a way to
go beyond safety and use vehicle automation to provide convenience
value to consumers in the near term. NIO*, the first of four
automakers expected to launch an EyeQ4-based system this year,
recently launched an excellent example.
Road Experience Management (REM) Mapping:
- This year, Mobileye will begin
collecting Road Experience Management data, enabled by software
embedded on EyeQ4, Mobileye’s latest system-on-chip, which began
volume production in late 2017. Two million vehicles in multiple
regions from BMW, Nissan and Volkswagen will contribute
low-bandwidth data packets. This data will be aggregated in the
cloud and result in a RoadBook™ of drivable paths, lane/road
boundaries and stationary landmarks that are used as reference
points.
- New today: relationships with NavInfo*
and SAIC Motor will bring REM to China.
- The first use of RoadBook will be as a
valuable input to L2+ and L3 systems to be launched by several
automakers in 2019. The category of L2+ is created by leveraging
RoadBook’s low-cost and low-bandwidth footprint (which is
crowdsourced through front-facing cameras on millions of L1/L2 ADAS
vehicles using only 10 kilobytes of data per 1 kilometer of
driving) to enable a major leap in both lateral (i.e., lane keeping
support) and longitudinal (i.e., adaptive cruise control) control
features at affordable cost.
Dynamic Data Collection: REM is not only about mapping.
Front-facing cameras on ADAS-equipped vehicles are intelligent
agents that can also be used to collect dynamic data, such as road
and environmental conditions (hazards, construction, traffic
density and weather), infrastructure, and parking availability.
Mobileye recently signed a next-step agreement with Volkswagen* to
formalize the collection and marketing of this data. Dynamic data
can also be collected through Mobileye’s new EyeQ4-based
aftermarket product called Mobileye 8 Connect™. Recent partnerships
with the city of Dusseldorf, Spain Directorate-General of Traffic,
Gett Taxi Limited, Berkshire Hathaway GUARD Insurance Company, and
Buggy TLC Leasing* represent landmark agreements for the use of
this data.
Level 4 Test Fleets: The first car in Mobileye’s 100
vehicle test fleet was shown during Krzanich’s keynote. This fleet
will use the development and validation platform described above
for a fully integrated Mobileye/Intel solution that Professor
Shashua described as “a highly scalable and cost-effective L4/L5
platform, benefiting customers and supplier partners alike.” The
fleet will showcase Intel and Mobileye’s full suite of
safety-minded and economically scalable software, including
surround-view computer vision, crowdsourced REM-based mapping and
localization, several levels of sensor fusion, efficient,
semantic-based artificial intelligence (AI) for driving policy
(decision-making), and a formal safety layer (described below).
This will all run on one of the most efficient silicon platforms on
the market, which has already benefited greatly from integration of
Intel engineering talent since the August 2017 closing.
Standards for Safety: Much of the regulatory work to date
has focused on fostering the deployment of test fleets, which is a
positive development. Now the industry’s stakeholders must come
together to prepare the landscape to move from today’s experimental
phase to mass production. Mobileye took the first step toward an
industrywide discussion by publishing a Responsibility Sensitive
Safety framework, a set of mathematical definitions to formalize
what it means to drive safely.
About Intel
Intel (NASDAQ: INTC) expands the boundaries of technology to
make the most amazing experiences possible. Information about Intel
can be found at newsroom.intel.com and intel.com.
About Mobileye, an Intel Company
Mobileye, an Intel Company 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.
Intel and the Intel logo are trademarks of Intel Corporation in
the United States and other countries.
*Other names and brands may be claimed as the property of
others.
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version on businesswire.com: http://www.businesswire.com/news/home/20180109006500/en/
Intel CorporationDanielle Mann,
973-997-1154Danielle.Mann@intel.com
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