LiDAR & 3D Data Processing

Point Cloud Processing for Intelligent Infrastructure

Apex helps organizations convert large-scale LiDAR point cloud data into precise spatial insights through advanced 3D data processing capabilities.

Our optimized processes support transport mapping, utility records, terrain analysis, and digital infrastructure development within complex engineering environments

LiDAR and 3D Data Processing Services

We handle LiDAR point cloud data collected from airborne, ground-based, and mobile platforms, transforming it into precise, well-organized datasets ready for analysis across a wide range of engineering and geospatial uses.

Services include:

Processing LiDAR data from airborne, terrestrial, and mobile capture systems
Removing noise, registering scans, and correcting trajectory information
Classifying points to separate ground and non-ground features
Integrating survey data and imagery to enhance positional accuracy
Applying scalable workflows using automation with manual refinement

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

We create precise terrain and surface models from classified point clouds, enabling use in planning, analytical studies, and engineering design processes.

Services include:

Creating DEM, DTM, and DSM from LiDAR datasets.
Generating contour maps and elevation profiles.
Conducting terrain analysis including slope and aspect studies.
Developing bare-earth surfaces through ground extraction.
Preparing datasets for GIS platforms and engineering workflows.

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

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

Detailed 3D representations are created from point cloud data to enhance visualization, enable digital twin development, and support infrastructure planning across multiple sectors.

Services include:

Creating 3D models of buildings, infrastructure, and surrounding environments
Generating interior and exterior spaces from point cloud data
Calculating volume estimates for construction and mining applications
Preparing 3D datasets for visualization and analysis platforms
Integrating outputs with BIM systems and digital twin environments.

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

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

Accurate vector datasets for infrastructure, transportation, and environmental applications are produced by deriving spatial features from LiDAR and imagery sources.

Services include:

Detecting roads, railway networks, and hydrological features.
Mapping road assets, markings, and related features.
Generating vector data within defined project extents (AOI)
Integrating LiDAR and imagery for better feature clarity.
Providing GIS-ready datasets for asset management systems.

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

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

We deliver detailed classification and modeling of complex environments, supplying high-precision data for use in utilities, forestry, and industrial sectors.