This project is based on Course MIT 6.S094: Deep Learning for Self-Driving Cars and published on this Github

The goal is to predict the steering wheel angel from Tesla dataset based on the video of the forward roadway.

python 3.5 + Keras 2.0.2 + Tensorflow 1.0.1 + Jupyter Notebook + opencv3

These models are trained by P2.xlarge 4vCPUs 61GB on aws.

Databases with real-traffic video data captured and extracted 10 video clips of highway driving from Tesla:

• The wheel value was extracted from the in-vehicle CAN

• A window from each video frame is cropped/extracted and provide a CSV linking the window to a wheel value.

A snapshot of video frame:

The CSV data format:

in which, ts_micro is time stamp，frame_index denotes frame number，wheel is steering wheel angle(Based on horizontal, + is clockwise, - is anticlockwise)

The generated vedio looks like: