Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston University engineer Eshed Ohn-Bar to develop a completely new way for autonomous vehicles to learn safe driving techniques—by watching other cars on the road, predicting how they will respond to their environment, and using that information to make their own driving decisions.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2V4pC5r
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Autonomous vehicles learning to drive by mimicking others
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