Autosteer

This code helps in getting the steering angle of self driving car. The inspiraion is taken from Udacity Self driving car module as well End to End Learning for Self-Driving Cars module from NVIDIA

Code Requirements

You can install Conda for python and python libraries which resolves all the dependencies for machine learning.

Description

An autonomous car (also known as a driverless car, self-driving car, and robotic car) is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous cars combine a variety of techniques to perceive their surroundings, including radar, laser light, GPS, odometry, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage

AutoSteer (NVIDIA Dataset based on real world)

Dataset

Download the dataset at here and extract into the repository folder

Python Implementation

1. Network Used- Convolutional Network
2. Inspiration - End to End Learning for Self-Driving Cars by Nvidia

Procedure

1. First, run LoadData.py which will get dataset from folder and store it in a pickle file after preprocessing.
2. Now you need to have the data, run Train_pilot.py which will load data from pickle. After this, the training process begins.
3. For testing it on the video, run AutopilotApp.py

References:

• Behavioral Cloning Project
• This implementation also took a lot of inspiration from the Sully Chen github repository: https://github.com/SullyChen/Autopilot-TensorFlow