The auto industry believes self-driving cars are the future of transportation and could be a key factor in preventing accidents, but the public is wary of autonomous vehicles (AVs). So companies are looking to find new ways to convince consumers that driverless cars are a good idea.。
Now, Intel says it can actually demonstrate exactly how safe AVs can be — and believes it has the math to prove it. 。
Amnon Shashua, who is the SVP of Intel's Autonomous Driving Group and CEO of recently acquired Mobileye, just published an academic paper that claims to provide a mathematical formula that can be applied to AVs to make sure that they won't cause accidents on the road. Intel and Mobileye also released a "layman's summary paper" on the formula, for those of us who never advanced beyond basic algebra. 。
SEE ALSO:The 'Google of China' is working on a driverless bus for next year and fully self-driving cars by 2021 。Shashua and his co-authors' solution describes a "Responsibility Sensitive Safety" model, which Intel believes can be used to create autonomous vehicles that will never be responsible for a car accident. The model describes scenarios in which AVs will use pre-programmed systems to behave safely, like a "Safe Distance Formula" to handle highway driving.。
Thanks for signing up! 。 Importantly, the model isn't designed to eliminate 。all 。
accidents — the framers acknowledge that there will be human drivers on the road with driverless cars for "decades," and people will still make mistakes and crash their cars. We've already seen human-AV accidents during Google's (now Waymo) and Uber's on-road trials. 。
The point of the formula, then, is to take away any question of liability from the autonomous systems during those incidents, which is a far cry from eliminating crashes entirely. Intel believes that AVs operating with a Responsibility Sensitive Safety model will be essentially blameless, which is probably not the first thing you want to tell someone after a fender bender.。Hope you're taking notes.Credit: INtel 。
Unfortunately, this appears to be the type of reasoning that makes the public nervous about AVs in the first place. People are skeptical about the decision-making process behind AI systems in general, but particularly when it comes to self-driving cars. 。
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