TerraMobilita/iQmulus urban point cloud analysis benchmark

@article{Vallet2015TerraMobilitaiQmulusUP,
  title={TerraMobilita/iQmulus urban point cloud analysis benchmark},
  author={Bruno Vallet and Mathieu Br{\'e}dif and Andr{\'e}s Serna and Beatriz Marcotegui and Nicolas Paparoditis},
  journal={Computers & Graphics},
  year={2015},
  volume={49},
  pages={126-133}
}
The object of the TerraMobilita/iQmulus 3D urban analysis benchmark is to evaluate the current state of the art in urban scene analysis from mobile laser scanning (MLS) at large scale. A very detailed semantic tree for urban scenes is proposed. We call analysis the capacity of a method to separate the points of the scene into these categories (classification), and to separate the different objects of the same type for object classes (detection). A very large ground truth is produced manually in… CONTINUE READING
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