• DocumentCode
    147718
  • Title

    A novel direct approach for highway design and visualization based on LIDAR

  • Author

    Mingyao Ai ; Jun Yan ; Qingwu Hu ; Lei Shi ; Shijie Wang ; Jie Ma

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Existing research suggests that LIDAR data is best suited for providing highway designers with general terrain information early in the location process in order to identify final corridors where more intensive photogrammetric work can be performed. The LIDAR points cloud is adopted to produce the digital terrain models (DTM) and digital orthophoto map (DOM) to aid the professional designers´ work. In this paper, we propose a novel direct approach for highway design and visualization based on LIDAR point cloud. This approach omits the procedure of DTM and DOM, and automatically generates the 3D profile and cross sections by using LIDAR points cloud only. The visualization of highway corridors is also quickly achieved by triangulation and texture mapping of the LIDAR points cloud.
  • Keywords
    data visualisation; optical radar; photogrammetry; roads; terrain mapping; DOM; DTM; LIDAR data; LIDAR point cloud; data visualization; digital orthophoto map; digital terrain models; highway design; intensive photogrammetric work; terrain information; Road transportation; Visualization; 3D profiles; KD tree; LIDAR; cross-sections; highway design; visualization;
  • 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.2014.6950831
  • Filename
    6950831