Will smart driving technologies revolutionize the way we move? Image source: Shutterstock (#585443723)
Using a sensory – fusion deep learning architecture based on Recurrent Neural Networks with Long Short- Term memories, Brain4Cars aims at anticipating the behaviour of driver based on the readings from sensors both inside and outside of the car. The algorithm as of now can predict upto 3.5 seconds in future with a high accuracy. This research work is jointly developed by researchers from The Stanford and Cornell University led by Prof. Ashutosh Saxena
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