Poles From Point Clouds

GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS(2014)

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摘要
Currently, the extraction of objects from point clouds of urban sites is commonly done manually as automation is impeded by noise, clutter, occlusions and varying point density. The authors have developed a software tool for automatic detection of road signs, lampposts, utility poles, traffic lights and other pole-like objects based on the open-source Point Cloud Library. The results appear to be encouraging.
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