Research On Indoor Parking Lot Navigation And Positioning System Based On Visible Ligh

Due to the lack of mature and reliable indoor navigation technology,car owners are unfamiliar with roads and parking spaces in unfamiliar parking environments.Parking difficulty has become a pain point in people’s daily life.In recent years,the visible light positioning technology has gradually matured,which provides a new technical direction for parking lot navigation.This paper studies the application of visible light in navigation and positioning,and designs a parking lot navigation and positioning system based on visible light.The visible light positioning technology and navigation algorithm are studied.Firstly,the lighting characteristics of LED are introduced,and the indoor visible light propagation model is analyzed based on Lambert radiation model theory.According to the characteristics of indoor environment and lighting requirements,the lighting scheme is formulated,and the light power distribution model and illumination distribution model of light source layout are simulated with MATLAB software to verify their applicability in lighting and positioning requirements.Secondly,the visible light positioning algorithm is introduced,the advantages and disadvantages of various methods are analyzed,an improved weighted centroid algorithm based on RSS is selected for research,the positioning errors under different attenuation coefficients K are simulated and analyzed,the accuracy of the algorithm is verified,the best parameters are selected,and the Kalman filter algorithm is used to eliminate noise interference and verified by simulation.Finally,it introduces and analyzes the principle and advantages of Dijkstra algorithm,and further introduces the practical application of Dijkstra algorithm combined with indoor parking lot map.Based on the functional requirements of the parking lot system,a system hardware solution based on LED frequency recognition is proposed with STM32 as the main control chip.The Linux server software is written based on the Java Spring Boot framework,and the navigation APP based on the Android mobile terminal is written and implemented.Positioning and path planning functions.According to the design scheme,an experimental platform for LED transmitter and receiver is built to verify various functions.The relationship between the distance and the received intensity is obtained by the received intensity acquisition method based on the angle change,which overcomes the ranging error caused by the receiving angle and the incident angle.Finally,the positioning experiment is carried out.The results show that the positioning accuracy of the system can reach 0.3m,which can meet the positioning requirements of the vehicle at low speed.