Automated Vehicle Control using Fuzzy Logic

Computing inside the vehicle has become a common deal. Autonomous climate control for the air conditioning, climate sensing wipers, monitoring the oil, fuel and tire pressures in the car have become common in every car these days. The next step to this is having a fully autonomous car that can drive on its own without the help of a human. Computers are focusing mainly on driver related tasks for commercial cars to make the work easy. Autopilot in car is nothing new today. But there is no fully autonomous car that can run on itself. The main aim of this project to design an autonomous car using fuzzy logic by defining three control algorithms which are Steering control, Speed control and Acceleration and Stop&go. These three scenarios are defined and fuzzy rules are written which govern the human like behavior of the car. We consider the Steering Control with Speed and Lateral Displacement as inputs and the Speed Control is defined with Range of View and Road Quality as parameters. Even though this is implemented in many cars today like Tesla and Mercedes, there is still a lot of scope for invention because different sensors can be added and the detection quality can be improved.