期刊文献+

基于轨道环境特征的轨道环境识别

Orbits Environment Recognition Based on The Environmental Characteristics
下载PDF
导出
摘要 随着高速铁路的建设与发展,铁路运输以其距离长、速度快、载运能力强的特点,成为了本国不可或缺的基础交通工具,铁路运输的安全越来越受重视。对铁路环境激光雷达点云数据进行点云分割及数据分析,实现导轨、接触线和承力索目标的分类识别,这对保障铁路运输安全具有重要的实际意义。基于对其环境特征的研究,检查目标对象的相关特征,并且利用区域增长、近邻分析等方法对轨道、接触线及承力索进行分类,提出了针对轨道环境的约束条件。 With the construction and development of the idle railway,railway transportation has become an indispensable basic vehicle in the country because of its long distance,fast speed and strong carrying capacity.The safety of railway transportation is receiving more and more attention.In this paper,the point cloud segmentation and data analysis of the laser environment point cloud data of the railway environment are carried out to realize the classification and identification of the guide rail,the contact line and the bearing cable target,which has important practical significance for ensuring the safety of railway transportation.Based on the study of its environmental characteristics,the relevant characteristics of the target object are examined;and the orbits,contact lines and bearing cables are classified by means of region growth and neighbor analysis.The constraints on the orbital environment are proposed.
作者 蔚增岩 姜涛 胡作勇 赵天成 WEI Zeng-yan;JIANG Tao;HU Zuo-yong;ZHAO Tian-cheng(School of Mechanical and Electrical Engineering,Changchun University of Science and Technology,Changchun 130022)
出处 《长春理工大学学报(自然科学版)》 2020年第6期66-71,共6页 Journal of Changchun University of Science and Technology(Natural Science Edition)
基金 吉林省省级产业创新专项资金项目(2017C045)。
关键词 激光雷达 轨道环境特征 区域增长 目标识别 lidar orbital environment characteristics r egional growth target recognition
  • 相关文献

参考文献8

二级参考文献120

  • 1邵春丽,胡鹏,黄承义,彭琪.DELAUNAY三角网的算法详述及其应用发展前景[J].测绘科学,2004,29(6):68-71. 被引量:65
  • 2周富强,李章,张广军.基于三维测量扫描线点云的表面重建[J].仪器仪表学报,2006,27(6):619-623. 被引量:23
  • 3PICC1NELLI M, VENEZIANI A, STEINMAN D A, et al. A Framework for geometric analysis of vascular structuresapplication to cerebral aneurysms [J]. IEEE Trans. Med. Imaging, 2009, 28(8): 1141-1155.
  • 4SYLVAIN G, AMAAN M, DAVID J C, et al. Three-dimensional surface profile intensity correction for spatially modulated imaging [J]. J Biomed. Opt., 2009, 14(3): 034045.
  • 5KEPPEL E. Approximating complex surfaces by triangulation of contour lines[J]. IBM Journal of Research and Development, 1975, 19(1): 2-11.
  • 6GABOR T. H, HSUM K.L. Three-dimensional display of human organs from computed tomograms[C]. Computer Graphics Image Processing, 1979, 9(1): 1-21.
  • 7CIGNONI P, GANOVELLI F, MONTANI C, et al. Reconstruction of topologically correct and adaptive tri-linear surfaces[J]. Computers and Graphics, 2000, 24(3) 399-418.
  • 8BAREQUET G. SHARIR M. Piecewise-linear interpolation between polygonal slices[J]. Computer Vision and Image Understanding, 1996, 63(2): 251-272.
  • 9LOPES A, BRODLIE K. Improving the robustness andaccuracy of the marching cubes algorithm for isosurfacing [J]. IEEE T Vis Comput. Gr., 2003, 9(1): 16-29.
  • 10OLIVA J M, PERRIN M, COQUILIART S. 3D reconstruction of complex polyhedral shapes form contours using a simplified generalized Voronoi diagram [J]. Computer Graphics Forum, 1996, 15(3): 397-408.

共引文献109

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部