A Novel Intelligent Parallel Parking System Based on Fuzzy Logic Without Using Sensor

The applications of intelligent systems have received a growing interest in the automobile industry. The car parking issue is one of the challenges for drivers, which can be solved by these smart systems. In this study, a new method for automatic parallel parking problems is proposed. The suggested method uses fuzzy inference to control, steer, and park the car in a tight space. Two parallel embedded fuzzy controllers have been designed to navigate the vehicle on the desired path. Unlike other studies that have used the error between developed and reference routes, the proposed method only uses the car's position data, similar to an experienced driver. There is no need to use the sensors to track the desired path in this method, but the car's kinematic model's output is the controllers' input. Based on the obtained results, the generated path by controllers is close to the desired track.