基于LabVIEW混合编程实现的弱势交通参与者检测系统

弱势交通参与者检测与预警是智能网联测试中典型的测试项目,该项目主要对摄像头采集的图像信息进行算法检测处理,然后由路侧设备收集检测结果并向车载终端广播消息。本文提出了一种采用可图形化编程的G语言,将机器视觉技术与虚拟技术相结合的弱势交通参与者检测系统。该系统相比其他的检测系统利用了强大的LabVIEW平台设计了友好的交互界面,便于检测结果的显示,参数的设置和历史图像的储存与管理,具有良好的准确度与实用性。

Vulnerable Traffic Participants Detection System Based on LabVIEW Hybrid Programming

The detection and early warning of vulnerable traffic participants is a typical test item in the intelligent network test.The item is subjected to algorithm detection processing on the image information collected by the camera,and then the roadside device collects the detection result and broadcasts the message to the vehicle terminal.This paper proposes a weak traffic participant detection system that combines machine vision technology with virtual technology using a G language that can be graphically programmed.Compared with other detection systems,the system uses a powerful LabVIEW platform to design a friendly interactive interface,which is convenient for display of test results,parameter setting and storage and management of his-torical images.It has good accuracy and practicability.