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AUTOMATIC CLASSIFICATION OF POINT CLOUDS FOR HIGHWAY DOCUMENTATION

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  • Additional Information
    • Publication Information:
      CTU Central Library, 2018.
    • Publication Date:
      2018
    • Collection:
      LCC:Engineering (General). Civil engineering (General)
    • Abstract:
      Mobile laser scanning systems confirmed the capability for detailed roadway documentation. Hand in hand with enormous datasets acquired by these systems is the increase in the demands on the fast and effective processing of these datasets. The crucial part of the roadway datasets processing, as well as in many other applications, is the extraction of objects of interest from point clouds. In this work, an approach to the rough classification of mobile laser scanning data based on raster image processing techniques is presented. The developed method offers a solution for a computationally low demanding classification of the highway environment. The aim of this method is to provide a background for the easier use of more sophisticated algorithms and a specific analysis. The method is evaluated using different metrics on a 1.8km long dataset obtained by LYNX Mobile Mapper over a highway.
    • File Description:
      electronic resource
    • ISSN:
      1210-2709
      1805-2363
    • Relation:
      https://ojs.cvut.cz/ojs/index.php/ap/article/view/4701; https://doaj.org/toc/1210-2709; https://doaj.org/toc/1805-2363
    • Accession Number:
      10.14311/AP.2018.58.0165
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.74d10ac1e6e044b9b94b60a998d90350
  • Citations
    • ABNT:
      MARTINA HŮLKOVÁ; KAREL PAVELKA; EVA MATOUŠKOVÁ. Automatic Classification of Point Clouds for Highway Documentation. Acta Polytechnica, [s. l.], v. 58, n. 3, p. 165–170, 2018. DOI 10.14311/AP.2018.58.0165. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.74d10ac1e6e044b9b94b60a998d90350&custid=s8280428. Acesso em: 26 nov. 2020.
    • AMA:
      Martina Hůlková, Karel Pavelka, Eva Matoušková. Automatic Classification of Point Clouds for Highway Documentation. Acta Polytechnica. 2018;58(3):165-170. doi:10.14311/AP.2018.58.0165
    • APA:
      Martina Hůlková, Karel Pavelka, & Eva Matoušková. (2018). Automatic Classification of Point Clouds for Highway Documentation. Acta Polytechnica, 58(3), 165–170. https://doi.org/10.14311/AP.2018.58.0165
    • Chicago/Turabian: Author-Date:
      Martina Hůlková, Karel Pavelka, and Eva Matoušková. 2018. “Automatic Classification of Point Clouds for Highway Documentation.” Acta Polytechnica 58 (3): 165–70. doi:10.14311/AP.2018.58.0165.
    • Harvard:
      Martina Hůlková, Karel Pavelka and Eva Matoušková (2018) ‘Automatic Classification of Point Clouds for Highway Documentation’, Acta Polytechnica, 58(3), pp. 165–170. doi: 10.14311/AP.2018.58.0165.
    • Harvard: Australian:
      Martina Hůlková, Karel Pavelka & Eva Matoušková 2018, ‘Automatic Classification of Point Clouds for Highway Documentation’, Acta Polytechnica, vol. 58, no. 3, pp. 165–170, viewed 26 November 2020, .
    • MLA:
      Martina Hůlková, et al. “Automatic Classification of Point Clouds for Highway Documentation.” Acta Polytechnica, vol. 58, no. 3, July 2018, pp. 165–170. EBSCOhost, doi:10.14311/AP.2018.58.0165.
    • Chicago/Turabian: Humanities:
      Martina Hůlková, Karel Pavelka, and Eva Matoušková. “Automatic Classification of Point Clouds for Highway Documentation.” Acta Polytechnica 58, no. 3 (July 1, 2018): 165–70. doi:10.14311/AP.2018.58.0165.
    • Vancouver/ICMJE:
      Martina Hůlková, Karel Pavelka, Eva Matoušková. Automatic Classification of Point Clouds for Highway Documentation. Acta Polytechnica [Internet]. 2018 Jul 1 [cited 2020 Nov 26];58(3):165–70. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.74d10ac1e6e044b9b94b60a998d90350&custid=s8280428