基于模板匹配的铁路中心线提取方法研究
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作者单位:

1.同济大学测绘与地理信息学院;2.中铁上海设计院集团有限公司

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中图分类号:

U452

基金项目:

中国铁建股份有限公司科技重大专项(2019A02)


Research on the integration and centre line extraction method of railway mobile laser scanning system
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Affiliation:

1.Tongji University College of Surveying and Geo-Informatics;2.China Railway Shanghai Design Institute Group Co,Ltd

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    摘要:

    随着原有铁路的老化以及对运力需求的增加,需要对既有铁路线路进行改建,因此需要在不影响正常运营的情况下对既有线进行勘测。目前铁路既有线勘测的手段多为传统人工测量方法,存在测量效率低、任务重、工序繁琐、反复上线等不足。针对上述不足,本文基于轨道移动激光扫描系统获取的绝对三维点云数据,采用基于最小二乘的二维模板点云匹配算法,联合迭代计算出钢轨轨面中心点位置,获得轨道中心线和轨距等相关参数。通过轨道试验场地的试验和结果分析表明,本文算法可有效提取轨道中心线,为既有线勘测提供准确的中线数据。

    Abstract:

    With the ageing of the original railway and the increase in demand for capacity, the existing railway lines need to be altered, so the existing lines need to be surveyed without affecting normal operations. At present, most of the existing railway lines are surveyed by traditional manual measurement methods, which are inefficient, heavy, cumbersome and repeatedly on line. To address the above shortcomings, this paper uses a least squares based 2D template point cloud matching algorithm to jointly and repeatedly calculate the rail track surface centre point position and obtain the track centre line and track gauge and other related parameters based on the absolute 3D point cloud data obtained by the track mobile laser scanning system. The test and result analysis at the track test site show that the algorithm can effectively extract the track centre line and provide accurate centre line data for the existing line survey.

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历史
  • 收稿日期:2022-06-16
  • 最后修改日期:2022-06-29
  • 录用日期:2022-07-04
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