Few latest decades have seen rapid growth in the application of LiDAR in various industrial domains. LiDAR sensors become more and more available and currently can be fit on any device from a drone to a vehicle performing high precision data collection quick and easy. Yet, the most challenging and time-consuming task is to process the data accurately and deliver valuable insights to the final customer.
EOS - is the one to undertake the mission of interpreting and analyzing big data for a diversity of your needs. From now, with the advanced algorithms from our data scientists team, you are able to get the most precise outcome.
We detect built structures and produce accurate 3D urban models from raw LiDAR data Point Clouds in a fully automated mode. As a result, raw point cloud input data is transformed into 3D vector models with a high level of detail.
The system automatically detects the changes in urban morphology over a selected period of time so that there’s no need to collect ground data manually and spend ages processing historical data to get a multitemporal perspective. The results are presented in 3D models to visualize the difference between selected objects in the most precise way.
The system builds a Digital Elevation Model that represents the bare earth terrain of a selected area, which is essential while managing various types of projects. It helps to visualize the contours accurately and precisely and get almost the real picture with all the natural and man-made objects within the area.
All files within input datasets should have the same coordinate reference system
Point density should be more than 3-5 points per square meter