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2016

End to End Learning for Self-Driving Cars

Bojarski, Mariusz, Del Testa, Davide, Dworakowski, Daniel et al.

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We trained a convolutional neural network (CNN) to map raw pixels from a single front-facing camera directly to steering commands.

This end-to-end approach proved surprisingly powerful.
With minimum training data from humans the system learns to drive in traffic on local roads with or without lane markings and on highways.
It also operates in areas with unclear visual guidance such as in parking lots and on unpaved roads.

End to End Learning for Self-Driving Cars · Around

Built on

Backpropagation applied to handwritten zip code recognition
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1989
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ALVINN, an autonomous land vehicle in a neural network
Dean A. Pomerleau · 1989
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