Baidu to Integrate Mobileye’s Responsibility Sensitive Safety Model Into Apollo Program
04 July 2018 - 1:00PM
Business Wire
What’s New: Baidu today announced that it plans to work
with Mobileye to integrate and commercially deploy Mobileye’s
Responsibility Sensitive Safety (RSS) model in both the open source
Project Apollo and commercial Apollo Pilot programs. Baidu also
announced plans to adopt Mobileye’s Surround Computer Vision Kit as
the visual perception solution; it will be integrated as part of
Baidu’s proposition to the Chinese OEM market.
The safety collaboration between Mobileye, an Intel Company, and
Baidu is a significant strategic success for Mobileye’s RSS model,
which was published last year, and will help deliver a safe driving
solution for autonomous vehicles (AV) on China’s challenging
roadways.
“Our team recognizes the value and critical
role that Mobileye’s RSS model plays in safely deploying autonomous
driving. Project Apollo will integrate RSS to successfully enable
safe driving today, and drive further autonomous research on
China’s roadways.”– Weihao Gu, general manager of Baidu’s
Intelligent Driving Unit
What It Is: Apollo is designed to be “an open, secure and
reliable self-driving ecosystem” that can help members of the
autonomous driving industry quickly build their own complete
autonomous vehicle systems. It has enlisted 116 global partners
since its launch a year ago.
RSS is an open and transparent formal model that provides safety
assurance of AV decision-making. RSS does this by formalizing
common sense human-centered concepts of what it means to drive
safely. Examples: always maintain a safe following distance and
right-of-way is given but not taken.
The Mobileye Surround View Camera kit includes 12 cameras
positioned around the vehicle plus Mobileye's computer vision (CV)
hardware and software, which leverages the cameras combined view
into a unified and comprehensive CV solution for autonomous
cars.
Why It’s Important: The decision-making systems in
autonomous vehicles today are based on artificial intelligence (AI)
– meaning they operate probabilistically and can make mistakes.
When it comes to safety and the lives of passengers, a
probabilistic model is not enough. That’s why Mobileye recommends
adding a separate, deterministic layer on top of AI-based
decision-making solutions in autonomous vehicles today.
Baidu and Mobileye will collaborate on the verification of RSS’s
formal model to the unique driving styles and road situations of
the China market, and will jointly publish updates to the RSS model
as this work results in new discoveries. “At Mobileye, safety
assurance of automated vehicles is one of the most important issues
facing the AV industry, and we are pleased Baidu has agreed to join
us in this effort to deliver verifiable safety of AV
decision-making into the China market,” said Jack Weast, chief
systems architect for Intel’s Autonomous Driving Program.
Why It’s Different: RSS was first proposed in 2017 by
Mobileye CEO and CTO Professor Amnon Shashua and is an open,
transparent and technology-neutral starting point for the industry
to align on what it means for an AV to drive safely. To put it
simply: While planning gets you from point “A” to point “B,” RSS
helps keep you safe along the way.
How It Works: RSS formalizes human notions of safe
driving into a verifiable model with logically provable rules,
defines appropriate responses, and ensures that only safe decisions
are made by the automated vehicle and that the automated vehicle
will do everything it can to avoid being involved in unsafe
situations initiated by others.
Mobileye’s RSS formulas will be integrated into the existing
safety model (known as “DPS”) of Baidu’s Apollo Pilot. Apollo Pilot
is Baidu’s deployment version of Project Apollo and is being
developed for multiple Chinese OEMs.
More Context: Autonomous Driving at Intel | Mobileye
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Intel CorporationRobin Holt,
503-616-1532Robin.Holt@intel.com
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