Autonomous Lane Maintaining System

Abstract

An Autonomous lane maintaining system is an experiment that is carried out to study or understand the deeper side of the self or autonomous driving. This is an initial motivation to expand the research or working in the automotive industry. Building a prototype of autonomous car with the help of hardware and software using Raspberry Pi and with the help of technologies like artificial intelligence, machine learning an image processing. While making and designing the system from totally scratch and it will be trained in the environment after that it will be able to predict the future decision with the help of a trained model and hence with the passage of time, we will observe more accuracy in its working. The model which we will train will composed of different data which will include the obstacles, the path, objects, and road signs. Ultrasonic sensors are used for the coming of any sudden object or car in its way. The work is done in efficient way to train the model accurately.