cocobol / behavioral-cloning-end-to-end-learning-for-self-driving-cars Goto Github PK

This project forked from mohamedameen93/behavioral-cloning-end-to-end-learning-for-self-driving-cars

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.

License: MIT License