LiDAR & 3D Data Processing

Advanced LiDAR Point Cloud Processing & 3D Data Processing Services for Infrastructure & Urban Projects

Apex delivers end-to-end LiDAR data processing services that convert raw point cloud data captured via airborne LiDAR survey, mobile laser scanning, or terrestrial systems into precision-grade spatial datasets.

Our Germany-led quality framework ensures engineering-grade accuracy across transport corridor mapping, utility network documentation, terrain analysis, and digital twin development for complex infrastructure environments.

LiDAR and 3D Data Processing : Services Description

We process raw LiDAR point clouds from airborne LiDAR survey systems, mobile laser scanning (MLS) platforms, and terrestrial LiDAR scanners (TLS) into structured, analysis-ready datasets. Our processing pipeline guarantees point cloud accuracy at every stage from raw ingest to final validation serving geospatial and engineering teams worldwide.

Services include:

Aerial and mobile LiDAR data processing across all major capture platforms
Point cloud noise filtering, scan registration, and trajectory correction
Ground / non-ground classification and point density optimisation
Survey control integration and GNSS/IMU data fusion for enhanced accuracy
Manual QA/QC validation with scalable automated workflows

Typical Inputs:
Raw point clouds (LAS/LAZ), trajectory files, GNSS/IMU data, imagery

Typical Outputs:
Processed and classified point clouds, aligned datasets, and validation reports

Our terrain modelling services transform classified LiDAR point clouds into high-resolution Digital Elevation Models (DEM), Digital Terrain Models (DTM), and Digital Surface Models (DSM). These outputs underpin flood risk modelling, infrastructure corridor planning, and engineering design across civil and environmental projects.

Services include:

DEM / DTM / DSM generation from classified LiDAR datasets
Contour map creation and elevation profile analysis
Analysis: Slope, aspect, and hillshade terrain
Bare-earth surface extraction and ground model refinement
GIS and engineering platform-ready dataset preparation

Typical Inputs:
Processed point clouds, ground-class data, elevation survey inputs.

Typical Outputs:
DEM, DTM, DSM, contour datasets, terrain analysis outputs.

We convert LiDAR point clouds into detailed 3D models for buildings, transport infrastructure, and complex urban environments. Our outputs support digital twin development, BIM integration, and as-built documentation enabling infrastructure owners to plan, design, and manage assets with high spatial confidence.

Services include:

3D modelling of building and infrastructure from point cloud data
Space capture for Interior and exterior to make as-built model and renovation planning
Volume calculation for construction, earthworks, and mining projects
Dataset preparation for 3D visualization engines and digital twin platforms
BIM-compatible model delivery (IFC, RVT, DWG) aligned to LOD requirements

Typical Inputs:
Point cloud datasets, CAD files, BIM models (IFC), imagery

Typical Outputs:
3D models, mesh outputs, BIM-compatible models, and visualization datasets

Our LiDAR feature extraction services derive accurate vector datasets from fused LiDAR and imagery sources.

We extract, classify, and structure spatial features at scale producing GIS-ready geospatial datasets that feed directly into asset management systems, planning tools, and engineering platforms.

Services include:

Automated and manual extraction of objects found in road networks, railway lines, and hydrological features
Road asset inventory mapping including markings, kerbs, traffic signs and signage
Vectorization of diverse areas, linear features and extraction of features within defined Areas of Interest (AOI)
LiDAR and orthophoto fusion for enhanced feature detection accuracy
GIS-ready dataset delivery compatible with given asset management platforms

Typical Inputs:
Point clouds, orthophotos, imagery, and available GIS/CAD datasets

Typical Outputs:
Vector layers (points, lines, polygons), GIS datasets, asset inventories

Our advanced LiDAR classification services handle the most complex point cloud environments from dense urban canopies to high-voltage power line corridor mapping.

We apply semantic classification to deliver structured, asset-grade data for utilities, forestry, and industrial infrastructure management.

Services include:

Semantic classification of Vegetation, building, and infrastructure
Advance classification of Power line with full 2D and 3D conductor modelling
Mobile Laser Scanning (MLS) point cloud classification for road corridor assets
Utility asset inventory development for network operators and municipalities
BIM workflow support and asset lifecycle data preparation

Typical Inputs:
MLS point clouds, aerial LiDAR data, imagery, and utility datasets

Typical Outputs:
Classified point cloud datasets, 3D asset models, network representations, and BIM-ready data

Precision in Data Structuring

Efficient Integration of Multi-Source Data

Key Service Areas

Point cloud classification and structuring
Infrastructure feature extraction
Corridor and transportation mapping
Terrain and vegetation analysis
3D infrastructure modeling
LiDAR data quality validation

More Information