Democratization of 3D sensor devices makes 3D maps building easier especially in long term mapping and autonomous navigation. In this paper we present a new method for summarizing a 3D map (dense cloud of 3D points). This method aims to extract a summary map facilitating the use of this map by navigation systems with limited resources (smartphones, cars, robots…). This Vision-based summarizing process is applied in a fully automatic way using the photometric, geometric and semantic information of the studied environment.


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    Titel :

    Summarizing large scale 3D point cloud for navigation tasks


    Beteiligte:


    Erscheinungsdatum :

    01.10.2017


    Format / Umfang :

    384348 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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