LiDAR 360 - LiDAR Point Cloud Processing Software Suite for Australian Market

We are bringing the advanced lidar point cloud processing software LiDAR360 into Australia which 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. The 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 Geological Analysis.
In the latest version 5.0, the powerline module is also added to LiDAR360 to allow users to conduct professional analysis on powerline point cloud data, such as classification, danger point detection, and so on.

LiDAR 360 - Tutorial - Basic Tools

LiDAR 360 - Terrain LiDAR Point Cloud Processing Module

The terrain module provides a series of automatic and manual-editing tools for classifying ground points from LiDAR point clouds. 

Addtionally, it also provides a set of GIS tools for interpolating surface models (e.g., digital elevation model/DEM, digital surface model/DSM), and visualizing and editing them in 3D. Furthermore, it contains tools for repairing surface models from spikes and holes. 

Furthermore, It allows users to analyze the terrain model to generate derivatives from the surface models, e.g. slope, aspect, and roughness. In the latest version, the change detection and deviation analysis functions have better support users’ needs in different fields, e.g., disaster monitoring and land-use change analysis.

LiDAR 360 - Tutorial - Terrain Modelling

LiAir 360 - Powerline Inspection LiDAR Point Cloud Processing Module

Overview

LiDAR360 powerline module can automatically classify power line and tower lidar point clouds, perform real-time power line analysis, establish a sample library of machine learning classification algorithms, reproduce the terrain, landforms, and ground features in the transmission line corridor accurately and effectively. 

 

Additionally, the data can be managed in a unified manner and combined with the relevant operating procedures of the transmission line to analyze the crossing, tree barriers, geology of the line, and complete the three-dimensional visualization of the transmission line corridor, finally achieve fast and efficient power line hazard detection and investigation in the grid system.

Accurate Modelling

Accurate and precise 3D modeling of towers, wires and ground features to help analyze defects such as tree barriers and crossovers in the line channel

Automation

Quickly detect dangerous trees that exceed the safe distance of the transmission line, and accurately calculate the hidden dangers in the channel network.

Support Tree Segmentation

Supports tree segmentation along the power transmission channels, quickly detects the number, location, height, crown width and other information of hidden tree hazards, accurately calculates the amount of felling, and provide guidance for the field work of hazard investigation in the power grid industry.

LiDAR 360 - Tutorial - Basic Tools

LiDAR 360 - ALS/TLS Forestry LiDAR Point Cloud Processing Module

The forestry module contains tools to process lidar point cloud data acquired from aerial laser scanning (ALS) systems (e.g., LiAir, LiEagle), terrestrial laser scanning (TLS) systems (e.g., LiBackpack), and mobile laser scanning systems (e.g., LiMobile). This module provides effective individual tree segmentation and editing tools for all kinds of point cloud data. And
users can recover the topographic information with denormalization tool after the segmentation and editing.

LIDAR360 3D SCANNING SYSTEM, LIDAR POINT CLOUS POST PROCESSING SOFTWARE - FORESTRY APPLICATION

Individual Tree Segmentation

Segment individual trees based on point cloud from both aerial and terrestrial LiDAR systems. Supports both CHM-based and point cloud based segmentation algorithms. After the segmentation, users can manually modify the segmentation result to improve accuracy. And then recalculate the individual tree metrics based on the modified result.

Forest Metrics

Automatically calculate forest metrics
including elevation, intensity, canopy
cover, LAI, etc., and provide regression
tools to derive parameters of forests
that cannot be directly extracted from
LiDAR point clouds, such as biomass
and stem volume.

Individual Tree Segmentation

Automatically calculate individual tree
parameters based on the segmented
point cloud including tree location, tree
height, diameter at breast height (DBH),
crown area, crown diameter , crown
area and so on.

LiDAR 360 - Tutorial - Forestry Module

LiAir 360 - Mine LiDAR Point Cloud Processing Module

LIDAR360 3D SCANNING SYSTEM, LIDAR POINT CLOUS POST PROCESSING SOFTWARE - MINING APPLICATION

Overview

Based on the real-time 3D point cloud data of mine on multi-platform, such as aerial and backpacks, the LiDAR360 measurement and terrain analysis modules can realize the mining path change detection of the open-pit mine, the quantitative analysis of the mining operation volume and the auxiliary decision-making of mining planning. At the same time, regular inspection and the analysis of the underground mine tunnel can be achieved to assist accident early warning and decision-making.

Economic and Environmental Evaluation of Mine Subsidence Area

Accurately measure the development of soil erosion on slopes and the volume of sand dunes. 

Tunnel section analysis

Based on the point cloud data, highly accurate and precise 3D models of the tunnel will be generated in LiDAR360, and the differences between the standard (reference) section and the scan (point cloud derived) section are compared to monitor the tunnel deformation.

Mine pile volume measurement

The 3D laser scanning system is used to observe the deposits and quickly obtain the 3D coordinates of the surface points of a large number of mine piles. The software can accurately calculate the volume of the mine piles based on the principles of calculus.

LiDAR 360 - Geological LiDAR Point Cloud Processing Module

Based on the results from terrain module, the geological analysis module provides the toolsets with the function of structural plane analysis, section analysis, city & town planning, residential survey, and landslide analysis for the geological industry. Moreover, the software can automatically generate the analysis report.

lidar 360 lidar point cloud processing software - town planning

LiGeoReference - LiDAR Point Cloud Georeferencing Software

Overview

LiGeoreference is proprietary software that allows users to convert range measurements and POS information from mobile, UAV or airborne laser scanning systems to georeferenced coordinates. The software provides flexible solutions for generating 3D point clouds in LAS or LiData formats with LiDAR returns mapped to a userspecified datum ( e.g. WGS 1984) and/ or projection system ( e.g. UTM). LiGeoreference also provides data fusion tools to assign LiDAR points with color information based on the color imagery integrated into the laser scanning system. Laser scanners from multiple providers, such as Riegl and Velodyne, are supported.

LiGeoReference - Tutorial - LiAir V70

Features

• Automatically calculate the georeference coordinates of LiDAR point cloud from mobile, UAV orairborne laser scanning systems.
• Fuse LiDAR point clouds with RGB imagery to assigned color information to each LiDAR point.
• Support the output of both geographic coordinates and projected coordinates.
• Support the process of laser scanning measurements from multiple laser scanner providers.

LiFuser - LiDAR Point Cloud Processing, Visualization, and Optimization Software for GVI LiBackpack

LiFuser-BP is designed to process, visualize, edit, and refine data collected with GreenValley International’s LiBackpack. This user-friendly software contains tools for performing differential GNSS data corrections, optimizing SLAM-based point cloud assembly routines, fusing 2D panoramic imagery and 3D LiDAR data sets, as well as function that clean and align (georeferenced) point clouds. LiFuser-BP ensures that LiBackpack post-data collection workflows can be carried out with ease and efficiency.

1. Rapid SLAM Data Post-Processing and Reporting

— Built-in differential GNSS (e.g. GPS) data processing module generates accurately georeferenced trajectory data without any third-party software required.
— GNSS trajectory quality reporting & editing tools allow users to eliminate trajectory segments of low accuracy and reduce the negative impact of blocked
satellite signals.
— 3D SLAM-based point cloud assembly routines can be optimized to point cloud outputs of the highest accuracy and precision.
— Advanced tightly-coupled SLAM algorithm available for generating highquality point clouds from LiDAR data collected in GNSS-denial environments (e.g. inside buildings, below ground, or under dense forest canopies). Users can select Scanning Environment Modes, such as Forestry, Outdoor, and Indoor etc., to quickly & conveniently configure complicated parameters.
— Point cloud colorization tools can be used to process image data collected from LiBackpack models with integrated panoramic camera designs.
— Batch processing functionalities allow users to load and configure multiple projects before processing them all at once

GNSS Trajectory Quality Report
SLAM-generated Point Cloud
Immersive Data Visualization & Roaming

2. Immersive Data Visualization & Roaming

— Display Trajectory, 3D point cloud and 2D panoramic image data simultaneously. An immersive panoramic roaming mode allows for first-person viewing of LiDAR data and imagery.
— Render LiDAR point clouds by height, color (RGB), intensity, as well as other attributes specific to the data set being viewed (e.g. trajectory segment or collection time).

3. Precise Point Cloud & Image Measurement

— User-friendly tools are available in LiFuser-BP for measuring3D point clouds and depth mapped imagery. Geometric attributemeasurement tools for finding lengths, areas, angles, heights, and volumes are included.

Direct Point Cloud
Panoramic Image Measurment Tools

4.Transform and Align Point Clouds

— Easily align partially or fully overlapping point clouds using manual point and registrate target sphere picking tools.
— Interactive tools for manually translating and rotating point clouds into alignment with a reference dataset.
— Fine-tune point cloud alignments using the powerful Iterative Closest Point (ICP) matching feature.
— Load and save manually and/or automatically generated 3D transformation matrix paramater values.

Align Mulitple Point Cloud Datasets

5. Convenient Data Editing & Cleaning

— Automatically remove (clean) non-target objects (e.g. people, foot and vehicle traffic, etc.) from selected point cloud regions.
— Cut vertical profiles from point clouds and isolate (clip) out specific regions of interest.
— Clip point cloud data with user-selected trajectory (path-of-travel) segments.

Uncleaned Non-Target Objects from Point Clouds
Cleaned Non-Target Objects from Point Clouds

LiPowerline - Powerline LiDAR Point Cloud Analysis

Overview

LiPowerline offers an intuitive and highly efficient solution for power line inspection from LiDAR point clouds and high-resolution imagery. This software includes powerful tools for the automatic and manual classifying of power lines, transmission towers, vegetation, buildings, and other objects of interest. The program can be used to automate the detection of user-defined danger points (e.g., vegetation encroachment and tree fall hazards). Built-in reporting functions allow users to quickly generate detailed project reports, and results can be exported as KML formatted files.

When carrying out detailed transmission tower inspections with drones, operators can define a flight plans that consider transmission tower designs based on previously collected point cloud data. The point cloud data is used to develop pre-planning flight routes that target the main components of the tower during high-resolution image capture.

 

LiPowerline Software Features:

— Advanced Classification Tools

• Deep learning tools that automate the classification of the transmission tower and conductors in point cloud data
• Automated ground and noise point classification routines
• 2D and 3D profile editing tools to assist users during point cloud classification

— Real-Time Working Conditions Analysis

• Individual tree segmentation by span/section
• Extract danger points along power lines
• Detect individual tree information such as location, height, crown size, etc.

— Simulate & Predict Environmental Variabilities

• Semi-automated tools for vectorizing insulators, power lines and transmission towers
• Simulate influences of tree fall, expected individual tree growth, wind, ice-loading, and air temperature on conductor sag and sway under user-defined environmental conditions

— Inspections Based on LiDAR Data

• LiPowerline has been developed to with the goal of extracting the information on corridor/right-of-way as well as asset (e.g. conductors and transmission towers) from LiDAR data. This information can then be used in subsequent analyses including those that examine phase-spacing, normal height and inclination conditions, as well as the impacts of different environmental conditions on conductor sag.

Conductor Sag Analysis
Phase Spacing Analysis

— Detailed Transmission Tower Inspections

• Detailed transmission tower inspections support capturing a large set of high-resolution images of the main components of the tower, and typical issues that analysts identify using drone-based imagery include structural issues, missing and backed-out cotter
pins, cracked insulators, vegetation concerns and so on.
• In short, you can use our system to identify hard-to-find maintenance issues—before they degrade performance or cause a critical failure.
• Moreover, LiPowerline contains functions that allow users to plan efficient transmission tower inspection flight routes. These flight plans can then be imported into the ground control software. These flight route planning functions can significantly reduce the cost
of inspections by improving data collection efficiency. Users can also simulate the flight in the point cloud data before heading to the field in order to determine if the proposed route is safe or not to fly.

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