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Behavioral-Cloning-End-to-End-Learning-for-Self-Driving-Cars

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In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.

Creat2017-12-11T01:08:59
Update2024-08-02T15:40:35
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