Research On Automatic Parking Control System Based On Multi-Information Fusion

In recent years,automobile driving has been developing in the direction of intelligence.Among them,the automatic parking system is an important development direction of automobile intelligence,and has been widely concerned by relevant technical personnel at home and abroad.The current automatic parking system has some problems,such as the low accuracy of the parking process and the inability to effectively recognize irregular parking spaces.This paper makes a certain research on the automatic parking system and improves the way of multi-sensor information fusion to improve its ability to deal with related problems in the parking process,improve the accuracy of intelligent recognition of parking spaces,and ensure safety in the path planning process High efficiency.The main research contents are as follows:(1)Multi-sensors are used to model the parking space model and extract the characteristic parameters.Mathematically model the typical irregular parking vehicles on both sides of the target parking space.After geometric analysis,a variety of factors affecting parking space recognition are obtained:Body attitude angle,maximum width distance,shortest spatial distance,presence or absence of parking space lines,etc.,identify the relevant feature information of the surrounding environment of the parking space,and then calculate and output the parking space recognition result according to the fuzzy inference system(FIS).(2)The depth-first search algorithm is used to generate the parking path,which is verified and analyzed,and then the cubic spline interpolation method is used to improve the smooth processing of the parking path,and the direction of the vehicle is always smooth while changing.Get the shortest path.(3)Build relevant experimental platforms,apply the traditional three-stage parking algorithm to the experimental platform for verification,and change the relevant parking environment for experimental research.Then the path production measurement proposed in this study is used for experimental comparison,and the simulation results verify the rationality and effectiveness of the intelligent parking space recognition and parking path planning scheme.The self-developed automatic parking system was mounted on the experimental car for real tests.The test results show that the recognition accuracy of the parking system for automatic parking in complex environments is 89%to 98%,with an average of 93.8%.The anti-collision rate in the path planning process is 96%-99%,with an average value of 98%,thus verifying the effectiveness of the automatic parking-related methods proposed in this study.