Langhui

Laser Point Cloud Modelling Data Set

1 Million m² / Approximately 1 TB | Millimeter-Precision LiDAR Point Cloud | High-Precision Real-Scene 3D Reconstruction

1 Millionm²
Scan area
≈1TB
Total Data Volume
mm class
Precision
Self-Collected
Data Source
Laser radar
3D

Dataset Overview

Laser Point Cloud Modelling Data SetYes.Changsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform operates.

Dataset NameLaser Point Cloud Modelling Data Set
Scan areaCumulative 1 million square metres
Total Data VolumeAbout 1 TB point cloud data
Data TypeLaser radar spot cloud data
Precisionmm class
Data StatusFully Cleaned

Core Data Fields

Each piece of data contains complete structured fields that cover everything from raw data to annotated information.

Field CategoryField CountTypical Fields
8XYZ coordinates, reflection strength (Intensity), RGB colour (if any), normal amount, curve rate
6Scanner model (ground/handheld/backpack), scanned resolution, scanned distance, point spacing
Match information6Number of sites, accuracy, coordinates of control points, coordinates
Site Information5Type of scene (indoor/outdoor/industry/construction/antiquities), area, complexity label

Data Sample Showcase

The following is a structured JSON sample showing typical data formats.

Other Organiser
"project id": "LPC-2024-0000345",
"scene type": "industrial plant", "area m2": 850,
"Scanner": "Model": "FARO Focus S350", "resolation": "1/4" (6mm@10m), "states": 42},
"pintcloud": {"Total points": 1860000, "density pts m2": 218,000, "regulation error mm": 1.2, "accuracy level": "mm"},
"coverage": "indoor area m2": 6200, "outdoor area m2": 230.
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AI Application Scenarios

High precision 3D reconstruction

millimetre-scale cloud data training and validation of high-precision 3-D reconstruction algorithms.

BIM Reverse Modelling

The auto-model algorithm training of cloud-to-bIM.

Digital twinning of industrial facilities

Industrial scene clouds build digital substrates at the factory level.

Exacerbate measurement AI

The cloud data training precision measurements and shape-testing AI.

3D Separator

A cloud-severed model.

AR/VR spatial positioning

Cloud data are used for AR/VR spatial positioning and scene perception.

Frequently asked questions

What's the precision of the cloud?
Scan accuracy up to millimetre (1-3 mm) with a matching error<2mm,BIM。
What's the data format?
The cloud data are in standard LAS/LAZ, PTS, E57 etc. with matching reports and precision validation data.
How to Get a Data Sample?
Please contactChangsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform.

Build your digital twin world?

Langham Technology has the nation's leading real-world 3D data acquisition capabilities, collecting a total of 2000 + square kilometers of flight data and 1200 + fine models. All data has been cleaned and quality inspected and can be used directly for AI model training.

Data sample preview · Customized acquisition plan · Professional technical support