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March 23, 2020

TRI/MIT System Trains Driverless Cars in Simulation Before They Hit the Road

Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios

CAMBRIDGE, Mass. -- Collaborative research between TRI and the Massachussets Institute of Technology (MIT) has developed a simulation system to train driverless cars by creating a photorealistic world with infinite steering possibilities. This helps the cars learn to navigate a host of worse-case scenarios before cruising down real streets.  

A summary of the project can be found on

A paper describing the system has been published in IEEE Robotics and Automation Letters and will be presented at the upcoming ICRA conference in May.

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