Design and implementation of self-driving car

Self-driving technology in general is becoming increasingly common and could revolutionize our transportation system. Also, self-driving cars are on their way of being legal, but they still are not trusted enough to be used in real life due to a lack of their safety. In this paper, a self-driving car prototype is proposed which integrates between different technologies including some algorithms which are Road lane detection algorithm, disparity map algorithm to detect the distance between the car and other vehicles, and Anomalies detection using Support Vector Machine classification algorithm as it achieved a very high accuracy using our data set. To test the car prototype, a special road environment was built to fit the car. Using the disparity map algorithm and merging between these algorithms will result in achieving safety and reliability for the self-driving technology.