CAJ | 학술논문

本文主要工作是根据车载激光获取的路面点云数据，在尽量保留路面特征的基础上，建立路面细节层次模型。通过对比相关技术，研究了基于分块的ROAM算法，实现了实时调度大规模路面点云并建模的工作。首先将点云数据通过内存映射读入内存，选取进行建模的初始点云数据，对建模数据进行分块，根据与视点的距离建立两个不同评价准则，建立二元三角树，实现了三维路面可视化及漫游，并利用文件数据动态更新显示的数据。实验结果表明，文中算法能够很好地处理大规模点云数据，并且能保留路面特征。
본문주요공작시근거차재격광획취적로면점운수거，재진량보류로면특정적기출상，건립로면세절층차모형。통과대비상관기술，연구료기우분괴적ROAM산법，실현료실시조도대규모로면점운병건모적공작。수선장점운수거통과내존영사독입내존，선취진행건모적초시점운수거，대건모수거진행분괴，근거여시점적거리건립량개불동평개준칙，건립이원삼각수，실현료삼유로면가시화급만유，병이용문건수거동태경신현시적수거。실험결과표명，문중산법능구흔호지처리대규모점운수거，병차능보류로면특정。
The main work of this paper is to establish pavement level of detail model according to pavement surface point cloud data obtained by the vehicle—borne laser, based on retain pavement features as much as possible. Through the com-parison of related technology, the paper analyzes the ROAM algorithm based on block, realizes the real-time scheduling and modeling of large-scale pavement point cloud. First the paper reads point cloud data into memory through memory mapped, then selects the initial point cloud data modeling. After that, the modeling data are divided into blocks, and ac-cording to the distance from viewpoint two different evaluation criteria are set up. At last, establishes Triangle Bintree, a-chieves The 3D road visualization and the roaming,therefore uses the data dynamic to update data. The experimental results show that this algorithm can deal with large-scale point cloud data,and can keep the pavement characteristics.