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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    Title :

    Summarizing large scale 3D point cloud for navigation tasks


    Contributors:


    Publication date :

    2017-10-01


    Size :

    384348 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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