摘要
受道路环境等干扰因素的影响,车辆监测效果不佳,为了实现智能车辆远程监测,在车联网背景下提出一种基于OBDII的智能车辆远程监测方法。在车联网环境下,通过改进的Hough变换方法提取智能车辆图像的目标区域,通过梯度直方图获取图像目标区域特征。对目标展开初始跟踪处理,将伪前景和初步判断不可能发生停车的车辆排除在跟踪序列外,根据分析车辆成功跟踪的次数,对目标车辆展开初始监测。通过OBDII系统完成车辆协议类型的选择以及智能车辆诊断接口通信等相关操作,将智能车辆故障信息及时传输到服务器,结合智能车辆质心坐标变化情况,实现对智能车辆远程监测。实验结果表明,所提方法可以精准远程监测智能车辆,准确定位目标车辆所在位置。
In order to realize the remote monitoring of intelligent vehicles,a remote monitoring method of intelli-gent vehicles based on OBDII was proposed in the context of the Internet of Vehicles.In the Internet of Vehicles,the target area of the intelligent vehicle image was extracted by the improved Hough transform method,and then the char-acteristics of the target area were obtained by the gradient histogram.Moreover,the initial tracking of the target was carried out,and the pseudo-foreground and the vehicle that was unlikely to stop after preliminary judgment were ex-cluded from the tracking sequence.According to the number of successful tracking,we performed the initial monitoring on the target vehicle.Based on the OBDII system,the selection of protocol type and the communication of the diagnostic interface were completed.Finally,the fault information of the intelligent vehicle was transmitted to the server in time.Based on the change of the barycentric coordinates of the intelligent vehicle,remote monitoring was re-alized.Experimental results show that the proposed method can accurately and remotely monitor the intelligent vehicle and locate the target vehicle.
作者
李铭
杨威
谢抢来
喻佳
LI Ming;YANG Wei;XIE Qiang-lai;YU Jia(College of Information Engineering,Jiangxi University of Technology,Nanchang Jiangxi 330098,China;School of Information Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,China)
出处
《计算机仿真》
北大核心
2023年第6期152-155,239,共5页
Computer Simulation
基金
江西科技学院自然科学项目(ZR2004)
江西省教育厅科技项目(GJJ212015)
江西省教育厅科技(GJJ191004)
江西省教育厅科学技术研究项目(GJJ2202612)
江西科技学院校级课题(JY2004)。
关键词
车联网
智能车辆
远程监测
Internet of Vehicles
OBDII
Intelligent vehicle
Remote monitoring
Hough transform
