Environment Conscious Automated Vehicle Navigation System using PID Controller

Objective: The autonomous driving allures the attention of people for its technical ability to free up the time behind the wheel and from paying attention to the road. This idea encourages the development of a variety of more sophisticated cars day by day. The driverless car is a vehicle that is accomplished by identifying its environment and steering without a car driver. In short, autonomous vehicles are designed to travel between the destinations by keeping the vehicles on a lane even when the traffic conditions change. Methods: This paper focuses on establishing a technology to develop a unique approach for the integration of autonomous robots into transportation systems. Findings: In this intended method, the autonomous vehicles consist of three subsystems. First, the input unit consists of a camera and ultrasonic sensor to sense their environment and distance measurement. Second, a processing unit is capable of analyzing the sensory data to differentiate objects on the road, which is very useful in planning a path. And the third one is a control unit that interprets the information and makes appropriate decision for keeping the vehicle in a desired path. Applications: The proposed prototype is developed using Raspberry Pi as input and processing unit. A low cost Arduino board is used as a control unit.