Key aspects of Autonomous driving software

Abstract

In era of the automation, the autonomous car or the driverless car are often mentioned as a robotic car in simple language. The project implemented by providing the video picture for finding the path or lanes for driving a car using Anaconda environment and machine learning tools. This project is capable of sensing the environment, navigating and fulfilling the human transportation capabilities with none human input. It is an enormous step of advance technology. Our main objective in this project is to create and develop a software that can automatically find the lanes of the road and then accordingly predict the steering angle required to make the turn. This project is implemented using OpenCV by python. The key aspects of Self-driving car works on the basis of angle movement without interruption of human and after that the results of actual angle and moved angle of cars are compared. In the proposed work we are using video lanes for better finding of lanes or paths to move to predetermined destination over roads.