A simulation engine trains driverless cars with a photorealistic world, helping them learn to navigate worst-case scenarios. Source: MIT

A simulation engine trains driverless cars with a photorealistic world, helping them learn to navigate worst-case scenarios. Source: MIT

CAMBRIDGE, Mass. — Researchers at the Massachusetts Institute of Technology here have developed a system that creates a photorealistic simulation engine with infinite steering possibilities. It is designed to help self-driving cars learn to navigate numerous worse-case scenarios before they roll down real streets.

The post Simulation engine from MIT trains self-driving cars before they hit real roads appeared first on The Robot Report.

Article From: "Rob Matheson | MIT News"   Read full article »

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