MURAL - Maynooth University Research Archive Library



    An automated algorithm for extracting road edges from terrestrial mobile LiDAR data


    Kumar, Pankaj and McElhinney, Conor P. and Lewis, Paul and McCarthy, Tim (2013) An automated algorithm for extracting road edges from terrestrial mobile LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 85. pp. 44-55. ISSN 0924-2716

    [img]
    Preview
    Download (982kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which can be used for extracting features such as the road edge along a route corridor. This information can assist road authorities in carrying out safety risk assessment studies along road networks. The knowledge of the road edge is also a prerequisite for the automatic estimation of most other road features. In this paper, we present an algorithm which has been developed for extracting left and right road edges from terrestrial mobile LiDAR data. The algorithm is based on a novel combination of two modified versions of the parametric active contour or snake model. The parameters involved in the algorithm are selected empirically and are fixed for all the road sections. We have developed a novel way of initialising the snake model based on the navigation information obtained from the mobile mapping vehicle. We tested our algorithm on different types of road sections representing rural, urban and national primary road sections. The successful extraction of road edges from these multiple road section environments validates our algorithm. These findings and knowledge provide valuable insights as well as a prototype road edge extraction toolset, for both national road authorities and survey companies.

    Item Type: Article
    Additional Information: The definitive published version of this article is available at DOI: 10.1016/j.isprsjprs.2013.08.003
    Keywords: Edge; Automation; Extraction; LiDAR; Terrestrial mobile;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 6945
    Identification Number: https://doi.org/10.1016/j.isprsjprs.2013.08.003
    Depositing User: Dr. Paul Lewis
    Date Deposited: 02 Feb 2016 14:31
    Journal or Publication Title: ISPRS Journal of Photogrammetry and Remote Sensing
    Publisher: Elsevier
    Refereed: Yes
    Funders: Irish Research Council (IRC), Pavement Management Services Ltd., Science Foundation Ireland (SFI), National Road Authority (NRA)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year