Intelligent Identification of Automatic Parking System Based on Information Fusion

Abstract

Aiming at the requirement of the automatic parking system intelligently identifying different types of parking spaces, this paper proposes an recognition method of parking spaces based on distance and visual information fusion. Establishing a model for identifying the vehicle attitude and parking parameters according to the ultrasonic sensors, visual information sensors, odometer information, the controller uses Mamdani fuzzy inference to automatically output the parking plan suitable. Establishing the automatic parking space identification model and parking path simulation model based on Matlab/Simulink, five typical parking spaces are simulated and analyzed, simulation results validated the rationality and effectiveness of intelligent parking identification and parking path planning. Experimenting on a car equipped with this automatic parking system, the results show that the accuracy of the recognition method is 88% -98% for regular and irregular parking spaces, statistical average is 92.8%, which proved the good effect of intelligent recognition of the parking technology. It shows that intelligent identification technology of automatic parking system based on Information Fusion designed has high performance.