• DocumentCode
    147711
  • Title

    Process of airborne lidar data for detection of complex overpass

  • Author

    Yang Wu ; Liang Cheng ; Yu Wang ; Lishan Zhong ; Yanming Chen ; Manchun Li

  • Author_Institution
    Jiangsu Provincial Key Lab. of Geographic Inf. Sci. & Technol., Nanjing Univ., Nanjing, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Three-dimensional (3D) model data of overpasses are significant for traffic navigation, landscape design, and many other applications. In this study, we use airborne light detection and ranging (LiDAR) data for 3D reconstruction of complex overpass. We propose a new technical framework for 3D reconstruction of complex overpass, including point cloud extraction, connectivity-based segmentation, determination of structure units, occlusion detection and restoration, and 3D modeling. To reduce the technical difficulty, we propose a concept of “structure unit”. The general idea of this framework is to divide an entire overpass into many simple “structure units”, and then derive a complete 3D model by reconstructing each “structure unit”. The experiments provide specific analysis and evaluation from two aspects: correctness and completeness, horizontal accuracy.
  • Keywords
    airborne radar; geographic information systems; hidden feature removal; optical radar; signal reconstruction; solid modelling; 3D model data; 3D modeling; airborne LiDAR data; airborne light detection and ranging; complex overpass 3D reconstruction; complex overpass detection; connectivity-based segmentation; landscape design; occlusion detection; occlusion restoration; point cloud extraction; structure unit determination; structure unit reconstruction; traffic navigation; Accuracy; Buildings; Image reconstruction; Image segmentation; LiDAR; occlusion restoration; overpass; points segmentation; structure unit; three-dimensional reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GeoInformatics), 2014 22nd International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2014.6950824
  • Filename
    6950824