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Toyota Pulls Off a Fast and Furious Demo With Dual Drifting AI-Powered Race Cars
Algorithms designed to handle a car after it loses traction could potentially intervene on behalf of human drivers.
Scientists from the Toyota Research Institute and Stanford University have developed a pair of self-driving cars that use artificial intelligence to do it in a controlled fashion—a trick better known as “drifting”—to push the limits of autonomous driving. Chris Gerdes, a professor at Stanford University who led its involvement with the project, tells WIRED that the techniques developed for the feat could eventually help future driver-assistance systems. They also developed algorithms that combine advanced mathematical models of the properties of tires and the track with machine learning that helps the cars teach themselves how to master the art of the drift.
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