Assistant-Parking System Based on Vision Perception System and Fuzzy Logic Controller

This paper develops Assistant-Parking system based on four-cameras and fuzzy logic controller, acquires the real-time information around vehicle and pre-parking space using wide-angle cameras, using vision perception system transform three-dimensional image of reality environment to top view, and offers driver the parking-controlling and real-time monitoring. Using the improved fuzzy system learning optimal fuzzy algorithm, enhance the adaptability for nonlinearity, time-varying property and nondeterminacy, decrease the difficulties of determining parameter. This design can effectively solve several problems for parking-controlling, as nonlinearity, time varying parameters and uncertainty problems, completes the task of assistant-parking.