How to Guarantee the Safety of Autonomous Vehicles

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As computer-driven cars and planes become more common, the key to preventing accidents, researchers show, is to know what you don’t know.

But there are legitimate concerns about safety. For example, in a 10-month period that ended in May 2022, the National Highway Traffic Safety Administration reported nearly 400 crashes involving automobiles using some form of autonomous control. Six people died as a result of these accidents, and five were seriously injured. The usual way of addressing this issue—sometimes called “testing by exhaustion”—involves testing these systems until you’re satisfied they’re safe.

In software engineering, a contract is a commitment that, for a given input to a computer program, the output will fall within a specified range. Figuring out this range isn’t easy. How accurate are the car’s sensors? How much fog, rain, or solar glare can a drone tolerate? But if you can keep the vehicle within a specified range of uncertainty, and if the determination of that range is sufficiently accurate, Mitra’s team proved that you can ensure its safety.

 

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