检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:黎恒 冯子扬 徐韶华 郑明德 张文涛[3] 郑飞宇 LI Heng;FENG Ziyang;XU Shaohua;ZHENG Mingde;ZHANG Wentao;ZHENG Feiyu(Guangxi BeiBu Gulf Investment Group Co.,Ltd.,Nanning 530000,China;Guangxi Beitou IT Innovation Technology Investment Group Co.,Ltd.,Nanning 530200,China;Guilin University of Electronic Technology,Guilin 541004,China)
机构地区:[1]广西北部湾投资集团有限公司,南宁530000 [2]广西北投信创科技投资集团有限公司,南宁530200 [3]桂林电子科技大学,桂林541004
出 处:《交通工程》2024年第7期100-104,110,共6页Journal of Transportation Engineering
基 金:广西重点研发计划(AB22035047)。
摘 要:针对高速公路隧道车辆检测中的信号采集、特征提取和车辆识别方面所存在的问题,提出了1种光时域反射的分布式光纤传感技术与张量仿射传播聚类算法相结合的隧道车辆检测方法。首先利用设计的光时域反射的分布式光纤系统对隧道车辆运行信号进行采集,获得测量数据。其次,提出1种采用光纤空间分辨率作为通道数,并结合特征数量和时域、频域构建1种高阶的张量样本集合。最后利用张量仿射传播聚类方法以及其他聚类方法进行正确率测试。测试结果表明,该方式可在不破坏原有高维数据结构的情况下,更好地实现车辆的分类,在识别过程中减少人工的干预、增加整个车辆检测模型的智能化程度、提高隧道车辆检测准确率。To address the problems of signal acquisition,feature extraction and vehicle identification in highway tunnel vehicle detection,a tunnel vehicle detection method is proposed that combines distributed optical fiber sensing technology based on optical time domain reflectometry(OTDR)with tensor affinity propagation clustering algorithm.Firstly,the designed distributed optical fiber system based on OTDR is used to detect the operating signals of tunnel vehicles and obtain measurement data.Secondly,a high-order tensor sample set is constructed by using the spatial resolution of the optical fiber as the number of channels,combined with the number of features,time domain and frequency domain.Finally,the tensor affinity propagation clustering method and other clustering methods are used to test the accuracy.The test results show that this approach can better classify vehicles without damaging the original high-dimensional data structure.Meanwhile,the unsupervised clustering algorithm reduces manual intervention during the identification process,increases the intelligence level of the whole vehicle detection model,and effectively improves the accuracy of tunnel vehicle detection.
分 类 号:U45[建筑科学—桥梁与隧道工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.141.43.16