Application of an Expert System for Reverse Parking Sensor in an Electrical Vehicle

It is a widely accepted fact that electric vehicles will be replacing the contemporary vehicles in less than three decades. Artificial intelligence (AI) is also a technology of the future. Thus, an integration of both is necessary. Expert System (ES), Fuzzy Logic (FL) and Neural Network (NN) are some very powerful tools of AI that enable the machine to take decisions on its own and improve on its previous mistakes without an external help from a human. An ES manages to take decisions on its own based on the knowledge database that it possesses. AI powered automatic vehicles comprise of several intelligent components which provide a better control of the vehicle to the driver. Reverse parking sensors are an example. These are the devices that aid the driver in parking the vehicle by acting as a warning system. This paper proposes a novel design of the Reverse Parking Sensor for Electric Vehicles (RPSEV) using an Arduino board and an ultrasonic distance sensor. These components together act as an ES that will assist the driver while parking by displaying Light Emitting Diodes (LEDs) and thus human involvement will be greatly reduced.