Intelligent 3D world building from mobile terrestrial LiDAR point clouds

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Mobile laser scanning (MLS) provides fast, efficient and cost-effective data collection. As studies carried out by various early adopters of this technology have highlighted, using mobile laser scanning allows cutting down field times by 80-90% but increases back office processing by 200-300%. The processing challenge comes from the difficulty of distinguishing different feature types from the huge amount of laser points. Even if some efficient numerical algorithms can be applied to speed up the 3D point cloud processing, they often rely on significant interaction of the user. The significant "value add" in the MLS workflow comes in transforming 3D georeferenced point clouds into intelligent 3D models of our urban infrastructure and environment. Not only is this type of semantic description significantly more compact than the raw data, but it supports high-level tasks like analysis of space usage or planning for renovations. This is the real challenge currently facing this field.