‘Air traffic control’ for driverless cars could speed up deployment

ombining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide-scale adoption, University of Michigan researchers say.

That’s the goal of a new project that relies on a technique called instantaneous crowdsourcing to provide a cost-effective, real-time remote backup for onboard autonomous systems without the need for a human to be physically in the driver’s seat. The research is taking place at the U-M Transportation Research Institute (UMTRI).