Point Cloud Scanning Intro & Process
LIDAR Point Cloud Processing
Converting point clouds is critical for rebuilding and remodeling operations. Cloud data may be efficiently transformed into improved versions using 2D drawings or 3D models created using specialized tools such as AutoCAD or Revit.
For precise and comprehensive data, the cloud point data is scanned using 3D laser scanners. To get point cloud data, newly scanned data of the building’s exteriors and interiors are employed. The acquired raw data is subsequently converted into readable cloud files. The data is then transformed into 3D CAD models.
TheDraftRack has a knowledgeable and professional staff that works hard to provide the best conversion services possible. We obtain raw point cloud data from our clients, which we then turn into CAD files using AutoCAD software. Below is how the scan acquisition process works :
- Point cloud Acquisition
- Point cloud registration, classification, and noise reduction
- Conversion into point cloud file version
- 3D modeling on the desired software
- CAD Drawing , contours , features et al with survey grade accuracy
Registration of LIDAR Point Cloud
Once the LIDAR data is acquired, the data can not be used in its truest form. The registration process in the field of laser scanning measurements begins with bringing the data into one common coordinate system. In most cases, it is necessary to scan the object from more than one scanning station. In this case, it is necessary to bring the data into one common coordinate system. In the case of deformation monitoring, the scan data must be in the same coordinate system to make a comparison between different epochs.
LIDAR Vector Generation
Vector Mapping is a three-dimensional depiction of Earth’s surface features that is used for geospatial analysis and modeling. production of map using different Symbols (trees, walls, poles, etc.,), Line kinds (rail, road, streams, etc.,) and Regions (buildings, tanks, forest, etc.,) with ID to extract vector or point information about railways, buildings, hydrological features, vegetation, etc., as required by the users.
LIDAR-Based Contour Mapping
Contours are typically in vector format (e.g., shape file, dxf.) and are created from a TIN rebuilt DEM. Contours are one of the most frequent ways to represent altitudes. TheDraftRack is a firm that specializes in the process of developing and extracting accurate contours. The data is collected across many projects to “foster the development of 2 ft contours” which are required to achieve acceptable contours with the accuracy of the basic LiDAR data; the widespread usage of LiDAR data has been playing a significant role in improving the accuracy of the Contours as well as the data collection made through LIDAR.
Classification Using LiDAR Point Cloud
The utilization of airborne Light Detection and Ranging (LiDAR) technology allows for the rapid gathering of high-resolution surface elevation data, which is useful for a variety of applications.
At the conclusion of the processing cycle, the data is classified. The data points are processed through an intense filtering procedure, and different classes of points are segregated in this activity. Vegetation data, for example, can be separated from ground layer data, and buildings and electrical lines can be separated using specific filtering techniques. Our classification services include
- Classification of the bare earth
- Building footprint categorization and DSM
- Classification of transmission and power lines
Scanner & Filetypes
- We need the Point Cloud Scan/Laser ie the Surveyed/Scanned data captured with the help of some of the popular (3D Laser scanners, viz. Faro, Matterport, Leica, Riegl, Trimble, Topcon, Z+F.)
- Data we need could be shared with us on the point cloud formats like (Depending on the scanner type used: The file formats are as follows: – .fls, .fws, .las, .rcp, .rcs, .ptg, .pts, .ptx, .e57, .laz, .lsproj, .xfs, .cl3, .rdbx, .rsp, .xyb, .db, etc. which is then converted into Revit-Ready format.
- Leica Cyclone
- Faro Scene
- Autodesk Recap
- Lidar 360
- Autodesk Recap
- Civil 3D
- Carlson et al.