From Raw Data to Real Decisions
LiDAR360MLS
Point cloud feature intelligent extraction and analysis software.
Capture less friction. Extract what matters.
From Massive Data to Meaningful Results
GreenValley LiDAR360MLS is a feature-intelligent extraction and analysis software, which supports the processing and analysis of LiDAR point cloud and image data obtained by mainstream vehicle-mounted, backpack, or handheld mobile mapping systems on the market. LiDAR360MLS brings everything together — from raw point cloud and image data to final outputs — in one connected system. No fragmented tools. No broken workflows.
From georeferencing and calibration to feature extraction, modelling, and analysis — every step flows into the next without friction. Less manual effort. Faster turnaround. Outputs that are ready to use, not rework.
Key Features
Universal Platform
Multi-Source Data
Massive Data Rendering
Accuracy Improvement
AI Automation
Intelligent Mapping
3D Analysis
Multi-Industry
Asset Extraction
Powered by AI, Asset Extraction automatically identifies and extracts over 100 types of map features like roads, buildings, and poles.
Users can train custom models using synthetic data from an extensible symbol library, while integrated professional tools offer interactive detection and over 100 editing options for efficient workflows.
With an open attribute table, real-time imagery, and a robust field calculator, the software ensures precise editing and data integrity through flexible annotations, attribute validation, and geometric checks—delivering an end-to-end solution from extraction to management for standardised mapping and digital twin outputs.
Now streamline extraction, validation, and asset management within a single intelligent workflow.
Cluster Computing and Modelbuilder
Modelbuilder offers customizable, one-click batch workflows for point clouds, vectors, and raster data. Its powerful cluster computing engine significantly boosts efficiency in georeferencing, point cloud processing, and 3D model reconstruction.
Seamless integration with existing systems and data pipelines enhances productivity, reduces manual intervention, and accelerates time-to-insight for critical decision-making.
Scalable processing capabilities ensure consistent performance even when handling large and complex datasets.
Multi-Platform Support
LiDAR360MLS has over 500-point cloud, vector, and raster processing and editing tools covering extraction, registration, export, classification, coordinate projection transformation, selection and clipping, measurement, mapping, editing, type conversion, extraction analysis, overlay analysis, and proximity analysis.
Its modular architecture allows users to customise and scale solutions based on project complexity.
Support for diverse data formats and workflows enables seamless integration across existing ecosystems.
From small-scale surveys to enterprise-level projects, the platform adapts to evolving operational requirements with ease.
One-Stop Point Cloud Geoprocessing
The software delivers a new data-processing workflow with continuous improvement in algorithms and data quality. It provides one-click point cloud generation for LiDAR sensors. It is built with multi-source data registration for complex scenarios and top-notch insights.
The software strictly controls each stage, including data processing, data registration, control-point correction, and quality inspection for high-performance output.
Advanced quality assurance mechanisms validate data accuracy throughout the workflow, reducing inconsistencies and improving reliability. The result is a streamlined process that delivers high-quality outputs ready for analysis, mapping, and decision-making.
Gaussian Splatting Reconstruction
LiDAR360MLS is the industry’s first software to enable Gaussian classification.
GS Reconstruction integrates LiDAR and camera data through cluster-based reconstruction to efficiently generate large-scale, centimetre-level, realistic 3D models with seamless indoor–outdoor fusion and photo-like fidelity.
It supports seamless Level-of-Detail (LOD) Gaussian rendering for massive point cloud datasets, provides precise editing tools such as clipping and profile editing, and enables classification labelling, individualised model analysis, 3D measurement, and mapping, with export options for Gaussian assets in multiple formats.
Built for scale, it delivers immersive visualisation and efficient interaction across complex 3D environments.
From raw data to real decisions in today’s fast-evolving world, decisions demand more than data—they need intelligence. Capture less friction and extract what matters, with precision across every application. Process your data smartly and unlock its true value.
Now transform your LiDAR point cloud and image data intelligently.
Process your data with Mirai. From raw point clouds to usable results, without delays.
