Geo-information automatic detection of objects in 3d point clouds

HIGHLIGHTS

  • who: Based on Exclusively Semantic et al. from the i3mainz, Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences have published the research: Geo-Information Automatic Detection of Objects in 3D Point Clouds, in the Journal: (JOURNAL)
  • what: This approach provides accurate results but it is not suitable for a vast data set because it is quite time-consuming. Contrary to Reference , the approach in Reference uses SWRL rules to reason and semantically annotate railway objects (e_g, tracks, signal) in a 3D point cloud data set instead of OWL constraints . The research . . .

     

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