Lidar Processing

This bundle of UgCS EXPERT in combination with the LIDAR360 Framework gives you all the tools you need for getting started with LiDAR data collection and processing. Classify point clouds and generate accurate 3D models using UgCS in combination with LiDAR360.

The LiDAR360 Framework lays the foundation for the entire software suite. With TB-level processing power, the Framework contains tools required for effectively interacting and manipulating LiDAR point cloud data. Functions include data management, automatic strip alignment, and point cloud classification.

It also allows users to upgrade to application-specific modules such as terrain, ALS/TLS forestry, and mining.

In the latest version, 5.0, the powerline module is added to LiDAR360. Users can conduct professional analysis on powerline data, such as classification, danger point detection, and so on.

LiDAR360 is a professional processing platform for massive point cloud data. The platform employs over ten different types of international leading point cloud algorithms, artificial intelligence, and machine learning to promote the use of LiDAR across the industry and solve users’ application problems while unlocking the full potential of their point cloud data. The software can analyse and process massive point cloud data and adapt to multiple platforms.
and devices, and provides more than 700 functions for efficient support of multi-industry applications.

LiDAR360 is used actively in more than 130 countries and regions, receiving an array of praise from clients, contractors, and governments, as well as tertiary and research institutions.

Platform Features

• Preprocessing: Solving calibration error, trajectory error and laser sensor error to correct the layered point cloud. Providing hybrid adjustment for multi-source data. Supporting correction by control points and quality inspection.
• UAV Processing: One-click operation for UAV point cloud & image processing, fully improving ALS data quality.
• Classification: Auto-classification for various features by deep learning. Support AI training for point cloud classification.
• Editor: Provide efficient editor tools for point cloud, model, vector and raster, and link multi-source data for identification.
• Vectorisation: Rich semi-automatic editing tools for 2D/3D vectorisation by multi-source data, seamless CAD and GIS data aggregation.