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Creating ChauffeurNet: A Recurrent Neural Network for Driving
In order to drive by imitating an expert, we created a deep recurrent neural network (RNN) named ChauffeurNet that is trained to emit a driving trajectory by observing a mid-level representation of the scene as an input. A mid-level representation does not directly use raw sensor data, thereby factoring out the perception task, and allows us to combine real and simulated data for easier transfer learning
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Asked: 12/13/18, 8:24 PM |
Seen: 2163 times |
Last updated: 12/13/18, 8:26 PM |