采用拟合基准面法进行路面凹陷自动识别的算法  

Algorithm for Automatic Identification of Pavement Depression by Datum Plane Fitting Method

作　　者：王东浩[1] 关强[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2009年第6期106-108,共3页Journal of Northeast Forestry University

基　　金：交通部西部交通建设科技项目(200631800083)

摘　　要：在对路面的凹陷特征进行了论证分析的基础上,提出了描述凹陷特征的深度、面积、边缘密度因子、边坡点识别因子等判定指标,并采用拟合基准面法,编制了MATLAB自动识别程序,实现了对400 m试验路段的已知坑槽、沉陷的正确识别,效果良好。Some indexes, depth and area of depression, margin density factor, and sideline point identifying factor, were used to describe pavement depression based on the argumentation of pavement depression characteristics. An algorithm for the automatic identification of pavement depression was induced with Matlab procedure through fitting datum plane. Then the algorithm was applied to the identification of pavement depression in a 400m section of the experimental road. Result shows that this algorithm can be used for pavement depression.

关 键 词：三维路面 凹陷 自动识别 拟合基准面法 

分 类 号：U418.6[交通运输工程—道路与铁道工程]