Through a project called Brain4Cars, Stanford and Cornell researchers released a new architecture consisting of Recurrent Neural Networks (RNNs) that use Long Short-Term Memory (LSTM) units to predict driving maneuvers several seconds in advance. This enables assistive cars to alert drivers before they make a dangerous maneuver. Maneuver anticipation complements existing Advance Driver Assistance��
]]>