This code helps in getting the steering angle of self driving car.
You can install Conda for python which resolves all the dependencies for machine learning.
pip install requirements.txt
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
Download the dataset at here and extract into the repository folder
- Network Used- Convolutional Network
- Inspiration - End to End Learning for Self-Driving Cars by Nvidia
If you face any problem, kindly raise an issue
- First, run
LoadData_V2.pywhich will get dataset from folder and store it in a pickle file after preprocessing. - Now you need to have the data, run
Train_pilot.pywhich will load data from pickle. After this, the training process begins. - For testing it on the video, run
AutopilotApp_V2.py
- Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, Karol Zieba. End to End Learning for Self-Driving Cars
- Behavioral Cloning Project
- This implementation also took a lot of inspiration from the Sully Chen github repository: https://github.com/SullyChen/Autopilot-TensorFlow