Mobile Laser Scanning Point Clouds: Status and Prospects of Automatic 3D Mapping of Road Objects

    Research output: Contribution to journalArticleProfessional

    Abstract

    The demand for 3D maps of cities and road networks is steadily increasing
    and mobile mapping systems are often the preferred acquisition method
    for capturing such scenes. Manual processing of point clouds is labour
    intensive and thus time consuming and expensive. This article focuses
    on the state of the art of automatic classification and 3D mapping of
    road objects from point clouds acquired by mobile mapping systems and
    considers the feasibility of exploiting scene knowledge to increase the
    robustness of classification.
    Original languageEnglish
    Pages (from-to)16-19
    Number of pages4
    JournalGeomatics World: the geomatics journal for land, engineering and hydrographic survey
    Volume26
    Issue number2
    Publication statusPublished - 2018

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