Hitachi Construction Machinery

Global

Design/Construction Planning

3D point cloud data

Current 3D data conversion

  • Use a photo (surface measurement) taken by the UAV.
  • High density 3D point cloud is extracted from the surface measurement image.
  • Removes noise such as vegetation and completes as 3D data.

From processing of acquired point cloud data to 3D state data preparation

* Software used may differ depending on the region. Screen shows one example.

1 Restoring point cloud data

The aerial photographs taken by UAV and the laser scanner measurement data are restored by software as point group data having 3D coordinate values such as terrain / features etc.

* Software used may differ depending on the region. Screen shows one example.

2 Noise removal

Unnecessary points (noise) such as vegetation in the acquired point cloud data are eliminated using point cloud processing software.


Filtering by density

Before thinning / After thinning

* Software used may differ depending on the region. Screen shows one example.

3 Thinning

When all the measurement point group data is used, the load in data processing becomes high, so representative points are extracted and the point cloud density is reduced.

Wire Frame

* Software used may differ depending on the region. Screen shows one example.

4 Creation of TIN data (surface data)

TIN (irregular triangulation) is placed a thinned point cloud. Create surface data of terrain and rock segment boundary.


Surface display

Laser scanner surveying
ICT construction TOP
3D design data
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