• How to locate the dataset at the right place in Indoor viewer

    After post processing the raw data which I added the control points when processing data, I eventually have a dataset of which the coordinate system is a local coordinate system and the values of x and y are quite large. So that it is difficult for me to put the dataset in the right place in Indoor Viewer directly. I don't want to move the dataset on my own because it is not accurate enough. 

    Looking forward to hearing from you. Thanks in advance.

    This is the origin.json in the datasets_web folder I get:
    {
        "Pose": {
            "orientation": {
                "w": "0.97370838608903776",
                "x": "-0",
                "y": "-0",
                "z": "0.22779810986898302"
            },
            "position": {
                "x": "821717.20680203079",
                "y": "834279.48791046313",
                "z": "6.2907631238366717"
            }
        }
    }

    And the GCP information shown as below:
    # Hint: X -> Easting, Y -> Northing, Z -> Height

    # Further information can also be found in the documentation:
    # http://www.navvis.com/docs/mapping/v1.8/en/html/slam_anchor_reference.html#anchor-files

    # Explanation of entries:
    #  - anchor_name       : unique identifier of the anchor pose, surround with quotes if it contains spaces
    #  - pos_x pos_y pos_z : Cartesian position of the anchor (right-handed coordinate system)
    #  - yaw_deg           : Yaw Euler angle (degrees) specifying the anchor orientation (not required)
    #  - timestamp         : Timestamp corresponding to the given pose (not required)
    1.1
    "n4" 821668.655000000 834286.524000000 5.394000000 0.000000000
    "n5" 821674.280000000 834320.514000000 7.301000000 0.000000000
    "n6" 821722.981000000 834310.479000000 7.012000000 0.000000000
    "n7" 821717.392000000 834279.802000000 5.380000000 0.000000000
  • RE: import point cloud with local coordinate system to indoor viewer

    After post processing the raw data which I added the control points when processing data, I eventually have a dataset of which the coordinate system is a local coordinate system and the values of x and y are quite large. So that it is difficult for me to put the dataset in the right place in Indoor Viewer directly. I don't want to move the dataset on my own because it is not accurate enough. 

    Looking forward to hearing from you. Thanks in advance.

    This is the origin.json in the datasets_web folder I get:
    {
        "Pose": {
            "orientation": {
                "w": "0.97370838608903776",
                "x": "-0",
                "y": "-0",
                "z": "0.22779810986898302"
            },
            "position": {
                "x": "821717.20680203079",
                "y": "834279.48791046313",
                "z": "6.2907631238366717"
            }
        }
    }

    And the GCP information shown as below:
    # Hint: X -> Easting, Y -> Northing, Z -> Height

    # Further information can also be found in the documentation:
    # http://www.navvis.com/docs/mapping/v1.8/en/html/slam_anchor_reference.html#anchor-files

    # Explanation of entries:
    #  - anchor_name       : unique identifier of the anchor pose, surround with quotes if it contains spaces
    #  - pos_x pos_y pos_z : Cartesian position of the anchor (right-handed coordinate system)
    #  - yaw_deg           : Yaw Euler angle (degrees) specifying the anchor orientation (not required)
    #  - timestamp         : Timestamp corresponding to the given pose (not required)
    1.1
    "n4" 821668.655000000 834286.524000000 5.394000000 0.000000000
    "n5" 821674.280000000 834320.514000000 7.301000000 0.000000000
    "n6" 821722.981000000 834310.479000000 7.012000000 0.000000000
    "n7" 821717.392000000 834279.802000000 5.380000000 0.000000000
  • RE: import point cloud with local coordinate system to indoor viewer

    Hi Laurin,

    Thank you for your reply. As you said, even though I use GCPs to process the raw data and I can get the georeferenced point cloud (.las) eventually, the dataset still has no any geoinformation? How can I match the location between the georeferenced point cloud (.las) and panorama exactly? Are the original point of point cloud and of dataset the same? 

    Regards, Christine

  • import point cloud with local coordinate system to indoor viewer

    How can I import the the point cloud with local coordinate system to the Indoor viewer? I add several GCPs which are local coordinate system when processing data and how to place the point cloud and panorama in a right place in Indoor viewer?
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