摘要
车载移动激光扫描技术是一种采用激光扫描、数码成像、卫星定位和惯性导航等多传感器集成的数据获取技术.与传统的摄影测量技术相比,具有自动化程度高、作业时间短、受天气影响小、数据精度高等特点.本文基于铁路高精度点云数据,通过建立八叉树模型将散乱点云数据网格化;参照碰撞检测技术,沿铁轨建立限界模型,采用投影转换快速实现对限界数据的精确提取;此外在限界模型之上建立二维网格,实现对地面数据的滤波;采用Hough变换快速精确提取接触线数据,并且利用中心点偏移实现对悬挂点的提取.
Mobile laser scanning is a type of integrated data acquisition technology using laser scanning, digital imaging, satellite po- sitioning,and inertial navigation.Compared with the conventional photogrammetry technology,it enjoys the advantage of high-degree automation,short operation time,rarely affected by weather conditions and high precision of measuring data.Based on accurate rail- way point cloud data,we mesh scattered point cloud data by building octree model.Then the clearance model is built along the railway by reference to the collision detection technology. Meanwhile, clearance data are extracted accurately by using the projection transformation.Besides, we establish two-dimensional mesh grid to filter ground data,and Hough transform is adopted to realize the extraction of power lines.Furthermore,the center-point offset method is applied to detect suspension point.
出处
《厦门大学学报(自然科学版)》
CAS
CSCD
北大核心
2016年第3期390-395,共6页
Journal of Xiamen University:Natural Science
基金
国家自然科学基金(61401382)