基于LabVIEW机器视觉的智能车库系统设计

Intelligent Garage System Design Based on LabVIEW Machine Vision

当今“停车慢,停车难”依旧是人们需要解决的难题。为解决此问题,研究了在大型场合中如何对寻找车位的车辆进行智能无人化最短路径的规划与引导。首先参考多类大型场所,建立了贴合实际的车库模型;其次采用了基于LabVIEW的视觉模块,自动对入库车辆进行车牌信息采集与识别;再次编写了以Floyd算法为核心的最短路径规划程序,以及使用了“STM32主控制器-AT89C51单片机”控制系统,控制MAX7219LED点阵、HC-SR04超声波传感器分别进行路径指示和车位检测;最后进行了智能车库模型的实地数据测试和方案优化。为解决“停车慢,停车难”的难题提供了可行的建议。

Nowadays,“slow parking,difficult parking”is still a problem that people need to solve.In order to solve this problem,how to plan and guide the intelligent unmanned shortest path of vehicles looking for parking space in large occasions is studied.Firstly,a garage model fitting to the actual situation was established by referring to multiple types of large places.Secondly,the visual module based on LabVIEW was used to automatically collect and recognize the license plate information of the vehicles in storage.Furthermore,the shortest path planning program with Floyd algorithm as the core was written.And the use of“STM32 master controller-AT89C51 microcontroller”control system,control MAX7219LED dot matrix,HC-SR04 ultrasonic sensor respectively for path indication and parking spot detection.Finally,the intelligent garage model of the field data test and program optimization.Feasible suggestions are provided to solve the problem of“slow parking,difficult parking”.