Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles
October 17 2017 - 10:00PM
Business Wire
Speaking today at the World Knowledge Forum in Seoul, South
Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice
president, offered the autonomous driving industry a way to prove
the safety of autonomous vehicles. His solution, published in an
academic paper and a layman’s summary paper, provides a formal,
mathematical formula to ensure that a self-driving vehicle operates
in a responsible manner and does not cause accidents for which it
can be blamed.
More: Intel Autonomous Driving (Press Kit) | Mobileye
(News) | “A Plan to Develop Safe Autonomous Vehicles. And Prove
it." (Shashua and Shalev-Shwartz summary paper)
Mobileye, an Intel company, is a leader in automated technology
and the world’s largest supplier of cameras for advanced driver
assistance systems (ADAS). With many years of success in vehicle
automation and the evolution from ADAS to full autonomy, Shashua
and his colleague Shai Shalev-Shwartz developed a mathematical
formula that can bring certainty to the open questions of liability
and blame in the event of an accident when a vehicle has no human
driver.
Their proposed Responsibility Sensitive Safety model provides
specific and measurable parameters for the human concepts of
responsibility and caution and defines a “Safe State,” where the
autonomous vehicle cannot be the cause of an accident, no matter
what action is taken by other vehicles.
In his talk, Shashua called upon the industry and policymakers
to “collaboratively construct standards that definitively assign
accident fault” when human-driven and self-driving vehicles
inevitably collide. He explained that all the rules and regulations
today are framed around the idea of a driver in control of the car
and that new parameters are needed for autonomous vehicles.
Shashua explained: “The ability to assign fault is the key. Just
like the best human drivers in the world, self-driving cars cannot
avoid accidents due to actions beyond their control. But the most
responsible, aware and cautious driver is very unlikely to cause an
accident of his or her own fault, particularly if they had
360-degree vision and lightning-fast reaction times like autonomous
vehicles will.”
The RSS model formalizes this in a way that ensures self-driving
cars will operate only within the framework defined as “safe”
according to clear definitions of fault that are agreed upon across
the industry and by regulators.
“As regulators and policymakers around the world struggle with
how to manage the deployment of automated driving without stifling
innovation, having a common, open method of evaluating the efficacy
of the technology seems like a good starting point. The
Responsibility Sensitive Safety model proposed by Mobileye seems
like a viable place to start the conversation. At least as an
evaluation method, it doesn’t lock anyone into specific
technologies while also providing a good framework for the
decision-making process within control systems,” said Sam
Abuelsamid, senior research analyst contributing to Navigant
Research’s Transportation Efficiencies program.
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Intel CorporationRobin Holtrobin.holt@intel.com
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