基于地面移动测量系统的井盖快速自动定位与提取方法的研究

Rapid Automatic Location and Extraction for Manhole Covers Based on Ground Mobile Mapping System

城市市政井盖的快速定位与提取是智慧城市部件管理中需要解决的关键性问题之一,也是城市道路养护智能化管理实现过程中待解决的技术难题。提出了一种基于移动测量系统的井盖自动定位与提取方法,利用地面粗糙度进行地面点云提取,并将地面点生成地面强度特征图像,基于改进的梯度直方图算法、主成分分析、支持向量机分类器三者结合的方法实现井盖的快速定位与提取,结合同步影像获取井盖的权属信息。基于实验数据对该方法进行定性、定量分析,基于该方法进行城市井盖自动提取的准确率可达88.495%,精确度为99%,证明了该方法的正确性、可行性与稳健性。该方法促进了道路养护部门智能化工作模式的提升,不仅降低了工作的危险系数,提高了检测精度,还将传统的外业检测转变为室内作业模式,自动化、智能化程度得到了大幅提升。

The rapid location and extraction of urban municipal manhole covers is one of the key problems to be solved in the component management of smart city,and also the key technical problem to be solved in the realization of intelligent management of urban road maintenance.Therefore,we propose an automatic location and extraction method for manhole covers based on mobile mapping system.The ground point cloud is extracted from the surface roughness,the ground points are generated into the ground intensity feature images,and rapid location and extraction of manhole covers are achieved based on the combination of three methods,such as histogram of oriented gradient algorithm,principal component analysis and support vector machine classifier.We obtain the ownership information of manhole covers with synchronous images.Qualitative and quantitative analysis of the method is carried out based on experimental data,the accuracy of automatic extraction of urban manhole covers is 88.495%and the accuracy is 99%.The results also verify the correctness,feasibility,and robustness of the proposed method.This method further promotes the improvement of intelligent working mode of road maintenance department,which not only reduces the danger coefficient of work,improves the detection accuracy,but also transforms the traditional field test into indoor operation mode,and the degree of automation and intelligence increases greatly.