煤炭工程 ›› 2017, Vol. 49 ›› Issue (3): 111-114.doi: 10.11799/ce201703032

• 研究探讨 • 上一篇    下一篇

采动区公路路灯杆点云中心线提取方法

陈元非   

  1. 江苏省徐州市中国矿业大学
  • 收稿日期:2016-11-14 修回日期:2016-12-19 出版日期:2017-03-09 发布日期:2017-03-21
  • 通讯作者: 陈元非 E-mail:18796258825@163.com

Extraction method of road street light pole point cloud core line in mining area

  • Received:2016-11-14 Revised:2016-12-19 Online:2017-03-09 Published:2017-03-21

摘要: 通过选取道路两旁的路灯杆作为特征地物,对比不同时间路灯杆中心坐标变化,求取公路水平移动与变形。针对路灯杆点云特征,推导了路灯杆中心线的提取模型,采用遗传算法进行路灯杆中心线提取,并分析了随机误差、粗差、点云观测不全面对算法中心线提取的影响。研究结果表明,该方法求取路灯杆中心坐标的精度优于1mm,并且具有较强的抗干扰能力。

关键词: 采区公路, 三维激光扫描, 中心线提取, 遗传算法, 抗干扰能力

Abstract: When using 3D laser scanning to obtain the moving and deformation of highway in the mining area,because there is no observation point, the light pole on both sides of the road are selected as the characteristic features, through the comparison of different time coordinates change of light pole center axis, calculate the horizontal movement and deformation of highway. According to the characteristics of the point cloud of the light pole, We derived extraction model of central line of street lamp pole, using genetic algorithm to extract the central line of the street lamp pole, and analyzed the influence of the random error, gross error and the point cloud observation is not comprehensive on the extraction of the central line of the algorithm. The research results show that the method of calculating the coordinates of the center of the road lamp accuracy better than 1mm, and has strong anti-interference ability.

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