Parking Space Recognition and Parallel Parking of Intelligent Cars Based on Visual
In addressing the challenge of difficulty in recognizing parking spaces due to environmental variables during the process of autonomous parallel parking,a vision-based parking space recognition method was proposed,along with the correspond-ing algorithm for processing parking space images.Additionally,a reverse parking path planning method with a fixed turning radi-us was also introduced,integrating the two-circle tangent method.A four-wheeled intelligent vehicle equipped with independent steering capabilities served as the subject,tasked with evaluating real-time parking space recognition and autonomous parallel parking functionality in four different scenarios of parking space availability.This was accomplished through practical vehicle ex-periments.The experimental results show that the parking space information video was collected by the camera in real time,and the parking space image processing algorithm and path planning method are used to successfully realize the accurate parking space recognition and safe and stable parking,which proves the feasibility of the proposed method.
VisionMATLABParking space recognitionParallel parkingPath planning
万方数据
维普
