ABSTRACT
An automated driverless car system is a prototype of a car which drives on its own without the need for human intervention. This is a prototype in which advanced sensors are used to detect the environment and make the vehicle act on its own. This chapter implements an obstacle detection system in which, the vehicle senses the object beforehand with help of sensors and avoids collision by actuating to the sensor. The detection of traffic lights and traffic signs takes place using a Raspberry Pi camera and the color of the traffic light is observed and the action is evoked accordingly. Computer vision based on the Haar-cascade classification algorithm is used to classify the signs and colors of the traffic light and to identify them and act accordingly. The driverless car is a futuristic project with scope to remove human intervention and human lives can be saved which happens due to the carelessness of the driver. Also, this driverless car helps in emergency situations by providing tracking facilities.
